{"id":33541,"date":"2026-08-20T15:53:28","date_gmt":"2026-08-20T13:53:28","guid":{"rendered":"https:\/\/blog.ptvlogistics.com\/?p=33541"},"modified":"2026-08-25T15:53:46","modified_gmt":"2026-08-25T13:53:46","slug":"multi-depot-route-planning-a-10-step-guide-for-beginners","status":"publish","type":"post","link":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/","title":{"rendered":"Multi depot route planning: A 10-step guide for beginners"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column][vc_column_text css=&#8221;&#8221;]<span data-contrast=\"auto\">Planning routes from one depot is already a challenge. When you are planning across several depots, it changes the job in a more fundamental way. You are no longer just deciding which vehicle\u00a0serves\u00a0which stop. You are also deciding which depot should serve which customer, how to balance capacity across sites, and how to keep service levels stable when volumes fluctuate.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Many\u00a0logistics\u00a0planners start out with spreadsheets, free map apps, and one-depot-at-a-time planning. If the company continues to grow, eventually these tools\u00a0reach\u00a0their limits. The work becomes too manual, too slow, and too hard to explain when someone asks why one depot is overloaded while another still has spare capacity.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">If you are looking for a practical, repeatable workflow for beginner multi depot routing, this is the step-by-step guide for you. We will show you how to plan multi depot routes in a way that is structured, scalable, and realistic for day-to-day\u00a0logistics. We will also cover how optimization-first software fits into the process, from planning through execution.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p>[\/vc_column_text][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>Key takeaways for beginners in multi-depot route planning<\/h2>\n<p><span data-contrast=\"auto\">The ideas below are the ones that most affect whether a multi-depot plan\u00a0actually holds\u00a0up in daily operations. The rest of this guide walks through how to put each of them into practice.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<blockquote>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:360,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;singleLevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Multi-depot route planning means deciding which depot serves each order before building routes \u2014 it\u00a0isn&#8217;t\u00a0the same as running single-depot\u00a0routing\u00a0several times over.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:360,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;singleLevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Depot assignment\u00a0happens\u00a0one of three ways: manually by planner judgment, by fixed rules such as catchment areas or distance thresholds, or fully\u00a0optimized\u00a0on cost, capacity, and service constraints.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:360,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;singleLevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Solving all depots together as one connected network is what allows workload to be rebalanced. Planning each depot separately is what causes one site to sit overloaded while another has spare capacity.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:360,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;singleLevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Common signs a team has outgrown single-depot tools: planning time growing faster than order volume, chaos from last-minute changes, a chronic imbalance between depots, inconsistent on-time performance, and planners who\u00a0can&#8217;t\u00a0explain why one plan beats another.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:360,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;singleLevel&quot;}\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">Before building multi-depot routes, four inputs need to be in place: depot data (and any service-area or catchment rules you want to enforce), clean order and time-window data, vehicle and driver constraints, and a clear planning\u00a0objective.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:360,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;singleLevel&quot;}\" data-aria-posinset=\"6\" data-aria-level=\"1\"><span data-contrast=\"auto\">Spreadsheets and single-depot tools work early on, but break down once depot balancing, time windows, driver rules, and network-wide trade-offs all\u00a0have to\u00a0be weighed together \u2014 which is where an optimization-first, network-wide approach takes over.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<\/blockquote>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2 aria-level=\"2\"><b><span data-contrast=\"none\">What is multi-depot route planning (and why is it different)?<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h2>\n<p><strong>In short: multi-depot route planning is the process of deciding which depot serves which order, then building efficient delivery routes across all depots as one connected network \u2014 rather than planning each depot in isolation.\u00a0<\/strong>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Single-depot\u00a0vs. multi-depot routing in plain language<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Single-depot planning starts from one origin point. Orders come in, vehicles leave that location, and the planner focuses on building efficient routes from there. Multi depot route optimization adds another dimension: deciding which depot should serve each order, under which constraints. Rather than a planner working that out by hand before routing even starts, this is exactly the kind of decision optimization software can make automatically, weighing depot capacity, cost, and service constraints together.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">That is what makes the\u00a0<\/span><a href=\"https:\/\/blog.ptvlogistics.com\/en\/ai\/leveraging-ai-for-route-optimization-pros-limits-and-risks\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">vehicle routing problem<\/span><\/a><span data-contrast=\"auto\">\u00a0with multiple depots more complex. There are simply far more variables to account for. One customer might be reachable from two depots. One depot might be closer,\u00a0but\u00a0already full. Another might have the right vehicle type, but tighter operating hours. Those different options and constraints shape your planning before you even start\u00a0optimizing\u00a0your routes.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p aria-level=\"3\"><span data-contrast=\"auto\">If you&#8217;re not yet sure your business has actually reached that tipping point, our\u00a0<\/span><a href=\"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/single-depot-vs-multi-depot-planning-challenges-tradeoffs-and-solutions\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">comparison of single-depot and multi-depot planning<\/span><\/a><span data-contrast=\"auto\">\u00a0walks through the signs, tradeoffs, and hidden costs of waiting too long to make the switch.<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Common real-life multi-depot scenarios<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Multi depot planning is an everyday job in situations like these:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">CEP networks with city depots and regional hubs.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Retail and e-commerce operations with regional DCs, local depots, or cross-docking points.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Transport and\u00a0logistics\u00a0providers serving several regions with different fleets, service promises, and customer requirements.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">A retail example makes this concrete too: a regional distribution center holds full-pallet stock, while several local depots or cross-dock points handle final-mile delivery to nearby stores or customers. If planning treats the DC and every local depot as separate problems, the network ends up over-stocked in one place and under-served in another \u2014 the same imbalance CEP networks see with hubs and city depots, just with different vehicles and time windows.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In each case, route planning for regional depots involves planning around depot hours, loading capacity, customer SLAs, vehicle availability, driver shifts, and local restrictions.\u00a0That is why routing with multiple depots and time windows becomes a routine operational task.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Why multi-depot planning breaks simple tools<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Simple tools usually treat each depot as its own isolated planning task. That seems manageable at first, but it eventually leads to blind spots. You may get reasonably\u00a0accurate\u00a0routes for each depot while still creating poor results across the wider network.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">That is one of the clearest signs of when spreadsheets are not enough for route planning. They struggle to\u00a0optimize\u00a0routes for several depots as one connected system. They also make it difficult to see how to balance loads between depots, react to volume changes, or test whether a different allocation rule would reduce miles and improve\u00a0utilization. In the end, this\u00a0impacts\u00a0your business, because you wind up with higher planning workloads, more empty miles, and less visibility and efficiency throughout your network.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2><span class=\"TextRun SCXW30767030 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW30767030 BCX0\" data-ccp-parastyle=\"heading 2\">What you need in place before planning multi-depot routes<\/span><\/span><span class=\"EOP Selected SCXW30767030 BCX0\" data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h2>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Your network and depot data<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Good planning starts with a clear network model. That means depot locations, depot operating hours, loading limits, throughput constraints, and any rules about what each site can or cannot handle. Some depots may be outbound only. Some may handle returns. Others may support cross-docking or inter-depot transfers.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">You also need to define service areas or preferred rules. A depot might usually cover a certain postcode range, but not always. This kind of zone-building is sometimes called sectorization \u2014 dividing a territory into balanced delivery areas so that workload, not just geography,\u00a0determines\u00a0the boundary. Those rules give you a practical baseline before you decide whether to keep assignment logic fixed, partly flexible, or fully optimized.\u00a0<\/span><span data-contrast=\"auto\">Redrawing zones is one lever inside an existing network \u2014 if depot locations, fleet mix, or the overall network structure are the real issue,\u00a0<\/span><a href=\"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/delivery-network-design-when-and-how-to-redesign-your-delivery-network-with-optimization\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">our guide on when and how to redesign your delivery network<\/span><\/a><span data-contrast=\"auto\">\u00a0covers that bigger decision.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>[\/vc_column_text][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Orders, customers, and time windows<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Next comes demand. You need reliable addresses or coordinates,\u00a0required\u00a0delivery dates, time windows, service times, and any order-specific restrictions. That can include liftgate requirements, temperature control, priority flags, or site access rules.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This is where\u00a0logistics\u00a0route planning step by step often succeeds or fails. If your address data is inconsistent, if time windows are missing, or if service times are guessed instead of defined, the planner ends up correcting inputs manually. That slows the workflow and makes the final plan less reliable.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Vehicles, drivers, and truck-specific constraints<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Fleet data matters more in multi-depot planning because routes tend to span larger areas and more varied road conditions. You need capacity, vehicle type, height, weight, refrigeration status, ADR rules, toll considerations, access rules for low-emission zones (LEZs), and any other truck attributes that affect routing.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Driver shifts, break rules, working time limits, and overtime policies matter just as much. Truck-specific routing becomes more important as routes cross regions and restrictions change. If that logic is missing, your plan may look efficient on paper and fail the moment it meets a low bridge, a time-restricted delivery zone, or a legal driving-time limit.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Planning\u00a0objectives\u00a0and business rules<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Before you start\u00a0optimizing, define the goal. Are you trying to cut total distance, protect on-time delivery, balance workload across depots, improve fleet\u00a0utilization, reduce fuel use, or support greener operations? In practice, the answer is usually a mix.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">You also need clear business rules.\u00a0Maximum\u00a0route duration.\u00a0Maximum\u00a0stops per route. Cross-depot visits\u00a0allowed\u00a0or not. Backhauls\u00a0allowed\u00a0or not. Preferred\u00a0depot-customer\u00a0relationships. These rules turn abstract optimization into a workflow your team can trust.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2><span class=\"TextRun SCXW155663924 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW155663924 BCX8\" data-ccp-parastyle=\"heading 2\">A step-by-step workflow for planning multi-depot routes<\/span><\/span><span class=\"EOP Selected SCXW155663924 BCX8\" data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h2>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Step 1. Define your depots and their roles<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Start by mapping every depot, hub, or transfer point in the network. Set capacities, depot hours, loading windows, and role definitions. Does the site only dispatch outbound routes? Does it process\u00a0returns? Can it support cross-docking?<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">A simple CEP example makes this easier to picture. A central hub may sort volume for several city depots. Those city depots then handle the final delivery routes. If the planner treats every site as doing the same job, the routing logic becomes messy fast.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"auto\">What the planner does:\u00a0<\/span><\/b><span data-contrast=\"auto\">define each site and its operational role.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What the system does:\u00a0<\/span><\/b><span data-contrast=\"auto\">stores those rules as the network structure behind the plan.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What to check before moving on:\u00a0<\/span><\/b><span data-contrast=\"auto\">whether the depot setup reflects how the business\u00a0actually runs, not how it looks in an org chart.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Step 2. Load your orders and customer constraints<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Next, bring in the day&#8217;s or week&#8217;s orders. If you are doing this manually, that may mean file imports. If you are using a more modern software setup, you can\u00a0sync\u00a0from your ERP, TMS, or OMS into a\u00a0multi depot\u00a0route planner software environment.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This is where data quality pays off. Addresses need to be geocoded correctly. Time windows need to be explicit. Service durations need to be realistic. In an optimization-first workflow, this step can be automated through\u00a0APIs\u00a0so planners do not spend the first hour of the day copying and cleaning data.\u00a0<\/span><a href=\"https:\/\/www.ptvlogistics.com\/en-us\/products\/ptv-developer\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">PTV Developer<\/span><\/a><span data-contrast=\"auto\">\u00a0is built for this kind of\u00a0embedding,\u00a0w<\/span><span data-contrast=\"auto\">ith APIs for routing, geocoding, and related\u00a0logistics\u00a0functions.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><strong><span class=\"TextRun SCXW257014865 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW257014865 BCX8\">What the planner does:\u00a0<\/span><\/span><\/strong><span class=\"TextRun SCXW257014865 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW257014865 BCX8\">review inputs and exceptions.<\/span><\/span><\/li>\n<li><strong><span class=\"TextRun SCXW257014865 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW257014865 BCX8\">What the system does:\u00a0<\/span><\/span><\/strong><span class=\"TextRun SCXW257014865 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW257014865 BCX8\">geocodes,\u00a0<\/span><span class=\"NormalTextRun SCXW257014865 BCX8\">validates<\/span><span class=\"NormalTextRun SCXW257014865 BCX8\">, and prepares order data for optimization.<\/span><\/span><\/li>\n<li><span class=\"TextRun SCXW257014865 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW257014865 BCX8\"><strong>What to check before moving on:<\/strong>\u00a0<\/span><\/span><span class=\"TextRun SCXW257014865 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW257014865 BCX8\">missing coordinates, impossible time windows, or incomplete service details.<\/span><\/span><span class=\"EOP Selected SCXW257014865 BCX8\" data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Step 3. Set up vehicles, drivers, and truck profiles<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Now assign vehicles to depots and define their profiles. Refrigerated vans, rigid trucks, trailers, EVs, or specialist vehicles may all need different planning logic. Add capacities, access restrictions, and vehicle-specific rules.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Then set driver shifts, break rules, and legal working-time limits. This is where fleet routing with constraints stops being a theory and becomes practical planning. A good workflow should catch issues before\u00a0dispatch, not after a driver is already on the road.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"auto\">What the planner does:\u00a0<\/span><\/b><span data-contrast=\"auto\">confirm available vehicles and crews for the planning horizon.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What the system does:\u00a0<\/span><\/b><span data-contrast=\"auto\">applies those constraints during optimization.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What to check before moving on:\u00a0<\/span><\/b><span data-contrast=\"auto\">whether route feasibility reflects both the vehicle and the driver, not just one or the other.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Step 4. Choose your planning strategy and objectives<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">At this stage, decide what matters most for this planning run. Minimize\u00a0total\u00a0cost. Balance\u00a0utilization\u00a0across depots. Protect on-time deliveries. Reduce total mileage.\u00a0<\/span><a href=\"https:\/\/www.ptvlogistics.com\/en-us\/solutions\/green-logistics\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Support emissions goals<\/span><\/a><span data-contrast=\"auto\">. Most teams start with one main\u00a0objective\u00a0and layer in more priorities later.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">That matters because beginner multi depot routing does not need to start with a perfect model. A useful workflow lets you begin with something clear and practical, then refine it over time as the team gains confidence.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"auto\">What the planner does:\u00a0<\/span><\/b><span data-contrast=\"auto\">choose the\u00a0objective\u00a0and any priority rules.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What the system does:\u00a0<\/span><\/b><span data-contrast=\"auto\">weights\u00a0trade-offs during optimization.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What to check before moving on:\u00a0<\/span><\/b><span data-contrast=\"auto\">whether the optimization goal matches the business pressure you are\u00a0actually under\u00a0today.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Step 5. Assign orders to depots (manually, rules-based, or\u00a0optimized)<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">This is one of the most important stages in how to plan routes from multiple depots. There are usually three approaches.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Manual\u00a0assignment is\u00a0the simplest. A planner\u00a0allocates\u00a0orders by region, depot ownership, or local knowledge. Rules-based assignment goes one step further, using catchment areas, distance thresholds, or fixed business rules. Full optimization lets the system decide which depot should\u00a0serve\u00a0each order based on cost, capacity, service, and constraints.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The value of optimization here is that it enables you to rebalance workloads and avoid the usual pattern where one depot is full, another has spare vehicle capacity, and nobody can see the network-level trade-off clearly. This is also where\u00a0multi depot\u00a0delivery planning for retail often improves\u00a0quickly, because\u00a0regional demand patterns shift by day and season.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">It&#8217;s\u00a0also worth remembering when delivery performance is\u00a0slipping:\u00a0before assuming the fix is more vehicles, check whether the real issue is how work gets assigned across depots \u2014\u00a0<\/span><a href=\"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/improve-delivery-performance-in-logistics-without-adding-fleet-capacity\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">our piece on improving delivery performance without adding more trucks<\/span><\/a><span data-contrast=\"auto\">\u00a0covers that in more detail.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"auto\">What the planner does:\u00a0<\/span><\/b><span data-contrast=\"auto\">choose the assignment logic and review exceptions.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What the system does:\u00a0<\/span><\/b><span data-contrast=\"auto\">allocates\u00a0orders across depots according to rules or optimization.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What to check before moving on:\u00a0<\/span><\/b><span data-contrast=\"auto\">overloaded depots, underused fleets, and assignments that look technically valid but operationally awkward.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Step 6.\u00a0Optimize\u00a0routes across all depots<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Once orders are assigned, the route engine can\u00a0optimize across\u00a0the\u00a0full\u00a0network. This is the core of\u00a0multi depot\u00a0route optimization. Instead of running separate route plans per depot and hoping they add up well, the system solves the broader problem as one coordinated planning exercise.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">That is a major difference in a true\u00a0multi depot\u00a0routing workflow. Instead of treating each depot as a separate planning unit, the system evaluates the wider operation as one connected network. That gives your planners a better basis for balancing workloads, improving vehicle\u00a0utilization, and reducing avoidable mileage across the whole footprint. This is another area where optimization-first software helps.\u00a0<\/span><a href=\"https:\/\/www.ptvlogistics.com\/en-us\/products\/ptv-optiflow\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">PTV OptiFlow<\/span><\/a><span data-contrast=\"auto\">, for example, handles large, complex transport flows with mixed fleets, multiple depots, and centralized planning. Its SaaS version can handle 15,000+ orders per run, or you can expand it using PTV Developer APIs to handle over 50,000 at a time.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"auto\">What the planner does:\u00a0<\/span><\/b><span data-contrast=\"auto\">launch optimization and compare planning options.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What the system does:\u00a0<\/span><\/b><span data-contrast=\"auto\">builds\u00a0feasible\u00a0routes across depots at scale.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What to check before moving on:\u00a0<\/span><\/b><span data-contrast=\"auto\">route quality, planning time, and whether the global result is better than separate depot-by-depot plans.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][\/vc_column_inner][\/vc_row_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Step 7. Validate the plan from a planner&#8217;s point of view<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">During optimization, the planner&#8217;s judgment is extremely valuable.\u00a0It&#8217;s\u00a0up to them to review and\u00a0determine\u00a0whether time windows are met, capacities are respected, driver rules are\u00a0feasible, and known bottlenecks are reflected.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This is also where planner productivity improves. Instead of building everything manually, the planner focuses on reviewing quality, adjusting edge cases, and improving outcomes.\u00a0In a planner-friendly environment, map views, timeline views, and drag-and-drop adjustments make that review practical rather than painful.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"auto\">What the planner does:\u00a0<\/span><\/b><span data-contrast=\"auto\">sense-check the plan against operational reality.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What the system does:\u00a0<\/span><\/b><span data-contrast=\"auto\">presents\u00a0routes in a reviewable format.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What to check before moving on:\u00a0<\/span><\/b><span data-contrast=\"auto\">customer preferences, local traffic patterns, and route details that still need human judgment.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Step 8. Export routes and hand over to execution systems<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Once the planner approves the plan, the team needs to send it into the systems that run the day. That may mean a TMS, telematics platform, driver app, or delivery management tool. The handover should happen digitally, not through copying and pasting.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This step often decides whether the workflow holds together. When planners copy route data by hand, they create delays, introduce errors, and waste time on admin. A connected setup helps prevent that.\u00a0<\/span><a href=\"https:\/\/www.ptvlogistics.com\/en-us\/products\/ptv-optiflow\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">PTV OptiFlow<\/span><\/a><span data-contrast=\"auto\">, for example, lets teams transfer route plans, stop sequences, timings, and delivery details directly into the surrounding systems they already use. That keeps the plan intact and enables smooth dispatch planning across multiple depots.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_single_image image=&#8221;31531&#8243; img_size=&#8221;medium&#8221; css=&#8221;&#8221;][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<ul>\n<li><b><span data-contrast=\"auto\">What the planner does:\u00a0<\/span><\/b><span data-contrast=\"auto\">release routes and confirm dispatch readiness.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What\u00a0the system does:\u00a0<\/span><\/b><span data-contrast=\"auto\">send route data into execution systems.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What to check before moving on:\u00a0<\/span><\/b><span data-contrast=\"auto\">confirm that ETAs, stop sequences, and delivery instructions transfer correctly.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Step 9. Monitor performance and adjust\u00a0same-day\u00a0if needed<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">In a multi-depot setup, an order change in one area can affect vehicle availability, depot workload, and route timing somewhere else. That is why planners need a clear view of what is happening and a fast way to respond.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">First, they need to spot where the plan changes. Then they need to decide whether to leave the route as it is, make a manual change, or run a new optimization for part of the day.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This is another area where having a connected planning setup saves time and costs. Look for optimization-first software that also supports re-optimization, so your planners can update routes when conditions change, instead of having to rebuild parts of the plan by hand.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"auto\">What the planner does:\u00a0<\/span><\/b><span data-contrast=\"auto\">review the issue, judge the impact, and choose the best response.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What\u00a0the system does:\u00a0<\/span><\/b><span data-contrast=\"auto\">show current route status and support re-optimization or route changes.<\/span><\/li>\n<li><b><span data-contrast=\"auto\">What to check before moving on:\u00a0<\/span><\/b><span data-contrast=\"auto\">confirm the effect on time windows, driver hours, depot workload, and downstream routes.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Step 10. Use scenarios to improve your multi-depot network over time<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Once your daily workflow is running smoothly, your team can use the same planning approach to continually improve the network as you move forward. This is the point where planning starts to support better, more strategic network decision-making.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">An optimization-first tool lets planners test these changes before the business\u00a0commits to\u00a0them. Instead of guessing, the team can compare different options, see the\u00a0likely effect\u00a0on cost, service, and workload, and make choices much more clearly. What happens if certain postal codes move to a different depot? What happens if depot capacity changes? What happens if one region needs more frequent deliveries? What happens if the business opens, closes, or repurposes a site?<\/span>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_single_image image=&#8221;33010&#8243; img_size=&#8221;medium&#8221; css=&#8221;&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]<span data-contrast=\"auto\">Increasingly, planners don&#8217;t have to set up each of these comparisons from scratch to get an answer \u2014\u00a0<\/span><a href=\"https:\/\/www.ptvlogistics.com\/en-us\/products\/ptv-mira\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">PTV Mira<\/span><\/a><span data-contrast=\"auto\">, for example, lets a planner ask a question like this directly, in plain\u00a0language, and get a scenario-based answer back, with the underlying comparison run in the optimization engine behind it.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For a digital lead, it also makes the multi depot planning workflow for\u00a0logistics\u00a0managers much easier to explain internally, because the operational impact of each\u00a0option\u00a0stays visible and grounded in day-to-day detail.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2><span class=\"TextRun SCXW133311447 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW133311447 BCX8\" data-ccp-parastyle=\"heading 2\">When your basic tools are no longer enough<\/span><\/span><span class=\"EOP Selected SCXW133311447 BCX8\" data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h2>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">Signs\u00a0you&#8217;ve\u00a0outgrown single-depot tools<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">When\u00a0your\u00a0planning tools are no longer up to the task of keeping your planners in control, you will\u00a0probably encounter\u00a0some of these common issues:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">Planning time keeps growing faster than order volume.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Last-minute changes create chaos.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">The same depots keep taking too much load while others stay underused.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">On-time\u00a0performance starts\u00a0to vary too much.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Planners struggle to explain why one decision works better than another.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Those signs usually point to one overarching problem: your team is trying to solve a network-wide issue with local tools.<\/span>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">What an optimization-first platform changes in the workflow<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">An optimization-first platform gives you one view of depots, vehicles, and orders. It automates allocation and route building across the wider network. It also helps planners scale from hundreds of orders to thousands without simply adding more manual effort.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Many planning tools stop at daily route building. PTV\u00a0OptiFlow, for example, works across three levels at once \u2014 strategic network design, tactical territory and capacity planning, and day-to-day operational routing \u2014 so the same platform that builds today&#8217;s routes can also help decide where the next depot should go or how sectors should be redrawn as volume grows.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Just as important, it connects planning to execution and visibility. That means fewer handoffs, clearer ETAs, better response to disruption, and a more credible basis for KPI improvement.<\/span>[\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]<span class=\"TextRun SCXW28953832 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW28953832 BCX8\">For planners and managers, this also means getting an answer faster when something looks off.\u00a0<\/span><\/span><a class=\"Hyperlink SCXW28953832 BCX8\" href=\"https:\/\/www.ptvlogistics.com\/en-us\/products\/ptv-mira\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW28953832 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW28953832 BCX8\" data-ccp-charstyle=\"Hyperlink\">PTV Mira<\/span><\/span><\/a><span class=\"TextRun SCXW28953832 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW28953832 BCX8\">, for example, is\u00a0<\/span><span class=\"NormalTextRun SCXW28953832 BCX8\">an\u00a0<\/span><span class=\"NormalTextRun SCXW28953832 BCX8\">interactive logistics intelligence agent<\/span><span class=\"NormalTextRun SCXW28953832 BCX8\">\u00a0<\/span><span class=\"NormalTextRun SCXW28953832 BCX8\">that lets teams ask a practical logistics question in plain language and get an operational answer back \u2014 including which routes are running inefficiently today, not just which ones look fine on paper.<\/span><span class=\"NormalTextRun SCXW28953832 BCX8\">\u00a0<\/span><\/span>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_video link=&#8221;https:\/\/www.youtube.com\/watch?v=1hyz9MJBcas&amp;list=PLfmltpc5zFKinNDV2_RR1m5BZO4hzwUg5&amp;index=6&#8243; css=&#8221;&#8221;][vc_column_text css=&#8221;&#8221;]<\/p>\n<p style=\"text-align: center;\"><strong>How PTV Mira finds inefficient routes<\/strong><\/p>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_cta h2=&#8221;&#8221; shape=&#8221;square&#8221; style=&#8221;flat&#8221; color=&#8221;black&#8221; add_button=&#8221;bottom&#8221; btn_title=&#8221;Learn More&#8221; btn_style=&#8221;flat&#8221; btn_shape=&#8221;square&#8221; btn_color=&#8221;white&#8221; btn_align=&#8221;center&#8221; css=&#8221;&#8221; btn_link=&#8221;url:https%3A%2F%2Fexplore.ptvlogistics.com%2Fen-us%2Foptimize-logistics-networks|target:_blank&#8221;]<\/p>\n<h2><strong>Turn Multi-Depot Complexity into Better Plans<\/strong><\/h2>\n<p>Balance depot assignments, fleet capacity, and delivery constraints with route optimization designed for complex logistics networks.[\/vc_cta][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n<h2 style=\"text-align: left;\">Related Products<\/h2>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/3&#8243;][vc_cta h2=&#8221;PTV OptiFlow&#8221; shape=&#8221;square&#8221; style=&#8221;custom&#8221; add_button=&#8221;bottom&#8221; btn_title=&#8221;Learn more&#8221; css=&#8221;&#8221; el_class=&#8221;product-teaser&#8221; btn_link=&#8221;url:https%3A%2F%2Fwww.ptvlogistics.com%2Fen-us%2Fproducts%2Fptv-optiflow|target:_blank&#8221;]Automated cloud-based route optimization software that unlocks the full potential of vehicle fleets.[\/vc_cta][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_cta h2=&#8221;PTV Mira&#8221; shape=&#8221;square&#8221; style=&#8221;custom&#8221; add_button=&#8221;bottom&#8221; btn_title=&#8221;Learn more&#8221; css=&#8221;&#8221; el_class=&#8221;product-teaser&#8221; btn_link=&#8221;url:https%3A%2F%2Fwww.ptvlogistics.com%2Fen-us%2Fproducts%2Fptv-mira|target:_blank&#8221;]The AI logistics expert that turns every question into optimized action.[\/vc_cta][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_cta h2=&#8221;PTV Developer&#8221; shape=&#8221;square&#8221; style=&#8221;custom&#8221; add_button=&#8221;bottom&#8221; btn_title=&#8221;Learn more&#8221; css=&#8221;&#8221; el_class=&#8221;product-teaser&#8221; btn_link=&#8221;url:https%3A%2F%2Fwww.ptvlogistics.com%2Fen-us%2Fproducts%2Fptv-developer|target:_blank&#8221;]<span class=\"ui-provider cky ckz c d e f g h i j k l m n o p q r s t cla clb w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">Scalable developer APIs for integrated route optimization, map visualization, geocoding, routing and more.<\/span>[\/vc_cta][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p class=\"card-text\">Multi-depot route planning gets unmanageable fast without a structure. See this 10-step guide covers depot assignment, data inputs, and optimization software. [&#8230;]<\/p>\n<p class=\"m-0\"><a class=\"btn btn-outline-secondary btn-read-more\" href=\"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/\">Read More<\/a><\/p>\n","protected":false},"author":117,"featured_media":33556,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[8317,3],"tags":[],"class_list":["post-33541","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-smart-sectorization","category-transport-logistics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Multi depot route planning: A 10-step guide for beginners | PTV Logistics Blog<\/title>\n<meta name=\"description\" content=\"New to multi-depot route planning? This 10-step guide covers depot assignment, data inputs, and optimization software that scales to 15,000+ orders.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Multi depot route planning: A 10-step guide for beginners | PTV Logistics Blog\" \/>\n<meta property=\"og:description\" content=\"New to multi-depot route planning? This 10-step guide covers depot assignment, data inputs, and optimization software that scales to 15,000+ orders.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/\" \/>\n<meta property=\"og:site_name\" content=\"PTV Logistics Blog\" \/>\n<meta property=\"article:published_time\" content=\"2026-08-20T13:53:28+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-25T13:53:46+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog.ptvlogistics.com\/wp-content\/uploads\/2026\/08\/WordPress-HEADER-image-2560x1425-3.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1425\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"PTV Logistics\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"PTV Logistics\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"16 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/\"},\"author\":{\"name\":\"PTV Logistics\",\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/#\\\/schema\\\/person\\\/db25d4754968d585bf3c039b46288a4e\"},\"headline\":\"Multi depot route planning: A 10-step guide for beginners\",\"datePublished\":\"2026-08-20T13:53:28+00:00\",\"dateModified\":\"2026-08-25T13:53:46+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/\"},\"wordCount\":4131,\"publisher\":{\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/WordPress-HEADER-image-2560x1425-3.jpg\",\"articleSection\":[\"Smart sectorization\",\"Transport Logistics\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/\",\"url\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/\",\"name\":\"Multi depot route planning: A 10-step guide for beginners | PTV Logistics Blog\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/WordPress-HEADER-image-2560x1425-3.jpg\",\"datePublished\":\"2026-08-20T13:53:28+00:00\",\"dateModified\":\"2026-08-25T13:53:46+00:00\",\"description\":\"New to multi-depot route planning? This 10-step guide covers depot assignment, data inputs, and optimization software that scales to 15,000+ orders.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/#primaryimage\",\"url\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/WordPress-HEADER-image-2560x1425-3.jpg\",\"contentUrl\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/WordPress-HEADER-image-2560x1425-3.jpg\",\"width\":2560,\"height\":1425},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/transport-logistics\\\/multi-depot-route-planning-a-10-step-guide-for-beginners\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Startseite\",\"item\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Multi depot route planning: A 10-step guide for beginners\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/#website\",\"url\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/\",\"name\":\"PTV Logistics Blog\",\"description\":\"We passionately write about technology which has best-in-class algorithms and data to enhance savings in logistics costs and emissions.\",\"publisher\":{\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/#organization\",\"name\":\"PTV Logistics\",\"url\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/wp-content\\\/uploads\\\/2023\\\/08\\\/PTV_Logistics_black_black.png\",\"contentUrl\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/wp-content\\\/uploads\\\/2023\\\/08\\\/PTV_Logistics_black_black.png\",\"width\":1479,\"height\":266,\"caption\":\"PTV Logistics\"},\"image\":{\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/be.linkedin.com\\\/company\\\/ptvlogistics\",\"https:\\\/\\\/www.youtube.com\\\/@PTVGroupLogistics\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/#\\\/schema\\\/person\\\/db25d4754968d585bf3c039b46288a4e\",\"name\":\"PTV Logistics\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/bb1b640106ad35bbfc0d52d4a986268d5f242227c95b18f286d848164449e8f3?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/bb1b640106ad35bbfc0d52d4a986268d5f242227c95b18f286d848164449e8f3?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/bb1b640106ad35bbfc0d52d4a986268d5f242227c95b18f286d848164449e8f3?s=96&d=mm&r=g\",\"caption\":\"PTV Logistics\"},\"sameAs\":[\"http:\\\/\\\/www.ptvlogistics.com\"],\"url\":\"https:\\\/\\\/blog.ptvlogistics.com\\\/en\\\/author\\\/ptv-logistics\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Multi depot route planning: A 10-step guide for beginners | PTV Logistics Blog","description":"New to multi-depot route planning? This 10-step guide covers depot assignment, data inputs, and optimization software that scales to 15,000+ orders.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/","og_locale":"en_US","og_type":"article","og_title":"Multi depot route planning: A 10-step guide for beginners | PTV Logistics Blog","og_description":"New to multi-depot route planning? This 10-step guide covers depot assignment, data inputs, and optimization software that scales to 15,000+ orders.","og_url":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/","og_site_name":"PTV Logistics Blog","article_published_time":"2026-08-20T13:53:28+00:00","article_modified_time":"2026-08-25T13:53:46+00:00","og_image":[{"width":2560,"height":1425,"url":"https:\/\/blog.ptvlogistics.com\/wp-content\/uploads\/2026\/08\/WordPress-HEADER-image-2560x1425-3.jpg","type":"image\/jpeg"}],"author":"PTV Logistics","twitter_card":"summary_large_image","twitter_misc":{"Written by":"PTV Logistics","Est. reading time":"16 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/#article","isPartOf":{"@id":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/"},"author":{"name":"PTV Logistics","@id":"https:\/\/blog.ptvlogistics.com\/en\/#\/schema\/person\/db25d4754968d585bf3c039b46288a4e"},"headline":"Multi depot route planning: A 10-step guide for beginners","datePublished":"2026-08-20T13:53:28+00:00","dateModified":"2026-08-25T13:53:46+00:00","mainEntityOfPage":{"@id":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/"},"wordCount":4131,"publisher":{"@id":"https:\/\/blog.ptvlogistics.com\/en\/#organization"},"image":{"@id":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/#primaryimage"},"thumbnailUrl":"https:\/\/blog.ptvlogistics.com\/wp-content\/uploads\/2026\/08\/WordPress-HEADER-image-2560x1425-3.jpg","articleSection":["Smart sectorization","Transport Logistics"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/","url":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/","name":"Multi depot route planning: A 10-step guide for beginners | PTV Logistics Blog","isPartOf":{"@id":"https:\/\/blog.ptvlogistics.com\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/#primaryimage"},"image":{"@id":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/#primaryimage"},"thumbnailUrl":"https:\/\/blog.ptvlogistics.com\/wp-content\/uploads\/2026\/08\/WordPress-HEADER-image-2560x1425-3.jpg","datePublished":"2026-08-20T13:53:28+00:00","dateModified":"2026-08-25T13:53:46+00:00","description":"New to multi-depot route planning? This 10-step guide covers depot assignment, data inputs, and optimization software that scales to 15,000+ orders.","breadcrumb":{"@id":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/#primaryimage","url":"https:\/\/blog.ptvlogistics.com\/wp-content\/uploads\/2026\/08\/WordPress-HEADER-image-2560x1425-3.jpg","contentUrl":"https:\/\/blog.ptvlogistics.com\/wp-content\/uploads\/2026\/08\/WordPress-HEADER-image-2560x1425-3.jpg","width":2560,"height":1425},{"@type":"BreadcrumbList","@id":"https:\/\/blog.ptvlogistics.com\/en\/transport-logistics\/multi-depot-route-planning-a-10-step-guide-for-beginners\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Startseite","item":"https:\/\/blog.ptvlogistics.com\/en\/"},{"@type":"ListItem","position":2,"name":"Multi depot route planning: A 10-step guide for beginners"}]},{"@type":"WebSite","@id":"https:\/\/blog.ptvlogistics.com\/en\/#website","url":"https:\/\/blog.ptvlogistics.com\/en\/","name":"PTV Logistics Blog","description":"We passionately write about technology which has best-in-class algorithms and data to enhance savings in logistics costs and emissions.","publisher":{"@id":"https:\/\/blog.ptvlogistics.com\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/blog.ptvlogistics.com\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/blog.ptvlogistics.com\/en\/#organization","name":"PTV Logistics","url":"https:\/\/blog.ptvlogistics.com\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/blog.ptvlogistics.com\/en\/#\/schema\/logo\/image\/","url":"https:\/\/blog.ptvlogistics.com\/wp-content\/uploads\/2023\/08\/PTV_Logistics_black_black.png","contentUrl":"https:\/\/blog.ptvlogistics.com\/wp-content\/uploads\/2023\/08\/PTV_Logistics_black_black.png","width":1479,"height":266,"caption":"PTV Logistics"},"image":{"@id":"https:\/\/blog.ptvlogistics.com\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/be.linkedin.com\/company\/ptvlogistics","https:\/\/www.youtube.com\/@PTVGroupLogistics"]},{"@type":"Person","@id":"https:\/\/blog.ptvlogistics.com\/en\/#\/schema\/person\/db25d4754968d585bf3c039b46288a4e","name":"PTV Logistics","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/bb1b640106ad35bbfc0d52d4a986268d5f242227c95b18f286d848164449e8f3?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/bb1b640106ad35bbfc0d52d4a986268d5f242227c95b18f286d848164449e8f3?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/bb1b640106ad35bbfc0d52d4a986268d5f242227c95b18f286d848164449e8f3?s=96&d=mm&r=g","caption":"PTV Logistics"},"sameAs":["http:\/\/www.ptvlogistics.com"],"url":"https:\/\/blog.ptvlogistics.com\/en\/author\/ptv-logistics\/"}]}},"_links":{"self":[{"href":"https:\/\/blog.ptvlogistics.com\/en\/wp-json\/wp\/v2\/posts\/33541","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.ptvlogistics.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.ptvlogistics.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.ptvlogistics.com\/en\/wp-json\/wp\/v2\/users\/117"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.ptvlogistics.com\/en\/wp-json\/wp\/v2\/comments?post=33541"}],"version-history":[{"count":18,"href":"https:\/\/blog.ptvlogistics.com\/en\/wp-json\/wp\/v2\/posts\/33541\/revisions"}],"predecessor-version":[{"id":33574,"href":"https:\/\/blog.ptvlogistics.com\/en\/wp-json\/wp\/v2\/posts\/33541\/revisions\/33574"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.ptvlogistics.com\/en\/wp-json\/wp\/v2\/media\/33556"}],"wp:attachment":[{"href":"https:\/\/blog.ptvlogistics.com\/en\/wp-json\/wp\/v2\/media?parent=33541"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.ptvlogistics.com\/en\/wp-json\/wp\/v2\/categories?post=33541"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.ptvlogistics.com\/en\/wp-json\/wp\/v2\/tags?post=33541"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}