{"id":34436,"date":"2026-10-08T13:03:00","date_gmt":"2026-10-08T11:03:00","guid":{"rendered":"https:\/\/blog.ptvlogistics.com\/transport-en-logistiek\/intelligent-network-planning-one-model-for-logistics-network-design\/"},"modified":"2026-10-19T15:53:11","modified_gmt":"2026-10-19T13:53:11","slug":"intelligent-network-planning-one-model-for-logistics-network-design","status":"publish","type":"post","link":"https:\/\/blog.ptvlogistics.com\/nl\/transport-en-logistiek\/intelligent-network-planning-one-model-for-logistics-network-design\/","title":{"rendered":"Intelligent network planning: one model for logistics network design"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column][vc_column_text css=&#8221;&#8221;]<span class=\"TextRun SCXW41788515 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW41788515 BCX8\">Intelligent network planning is an approach to <\/span><span class=\"NormalTextRun SCXW41788515 BCX8\">logistics<\/span><span class=\"NormalTextRun SCXW41788515 BCX8\"> network design that answers strategic, <\/span><span class=\"NormalTextRun SCXW41788515 BCX8\">tactical<\/span><span class=\"NormalTextRun SCXW41788515 BCX8\"> and operational questions on one optimization model that carries every real constraint of your daily operation. Depot decisions, territory <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW41788515 BCX8\">changes<\/span><span class=\"NormalTextRun SCXW41788515 BCX8\"> and tomorrow&#8217;s routes all come from the same engine, and what happens on the road feeds back into each of them. <\/span><\/span><span class=\"TextRun SCXW41788515 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW41788515 BCX8\">That was the core message of <strong><a href=\"https:\/\/www.linkedin.com\/in\/an-de-wispelaere-6459561a\/\" target=\"_blank\" rel=\"noopener\">Dr. An De Wispelaere<\/a><\/strong>, <strong>Chief Innovation Officer (CIO)<\/strong> at <strong>PTV Logistics<\/strong><\/span><\/span><span class=\"TextRun SCXW41788515 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW41788515 BCX8\">, in her keynote at <\/span><\/span><strong><a href=\"https:\/\/leaders-in-logistics.com\/events\/summit\/\" target=\"_blank\" rel=\"noopener\"><span class=\"TextRun SCXW41788515 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW41788515 BCX8\">Leaders in Logistics<\/span><\/span><\/a><\/strong><span class=\"TextRun SCXW41788515 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW41788515 BCX8\"> on October 7, 2026.<\/span><\/span><span class=\"EOP Selected SCXW41788515 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<blockquote class=\"blockquote\"><p><b><i><span data-contrast=\"auto\">Key takeaways<\/span><\/i><\/b><\/p>\n<ul>\n<li><i><span data-contrast=\"auto\">Network studies built on averages rarely survive contact with the depot, because real time windows, traffic and driver rules are missing from them.<\/span><\/i><\/li>\n<li><i><span data-contrast=\"auto\">Replaying last month&#8217;s real orders with a new depot in place gives far more confidence than a forecast worked out on averages.<\/span><\/i><\/li>\n<li><i><span data-contrast=\"auto\">A planning model earns trust when it holds every operational constraint, runs in the daily planning tool and is run by your own planners.<\/span><\/i><\/li>\n<\/ul>\n<\/blockquote>\n<p><span data-contrast=\"auto\">An opened with a story most people think they know:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">At 11:40 p.m. on April 14, 1912, the Titanic struck an iceberg. Passengers felt a faint shudder, barely enough to rattle the glasses in the lounge. Half an hour later they were told to put on life jackets and go to the boats. The lights were still on, the ship was warm, and the band was playing. Twenty meters below the railing hung a small wooden boat above black, freezing water.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The first lifeboat lowered that night had room for 65 people. It left with about 28. Several early boats went down with dozens of empty seats, because passengers were comparing a danger they could see with one they could not see yet. By the time the danger was obvious, most of the boats were gone.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<blockquote><p><i><span data-contrast=\"none\">&#8220;I think many of us are standing on that deck right now. The ship is the way we&#8217;ve always worked. The lifeboat is how we will be working, completely immersed in AI.&#8221;\u00a0<\/span><\/i><\/p>\n<p><b><i><span data-contrast=\"none\">&#8211; Dr. An De Wispelaere, Chief Innovation Officer, PTV Logistics<\/span><\/i><\/b><\/p><\/blockquote>\n<p data-pm-slice=\"0 0 []\">Prefer to watch? <a href=\"https:\/\/www.youtube.com\/watch?v=rf36GqI46Jo\" target=\"_blank\" rel=\"noopener\"><strong>See An\u2019s full keynote from Leaders in Logistics here.<\/strong><\/a><\/p>\n<h2 aria-level=\"2\"><b><span data-contrast=\"none\">Why does the annual network study no longer hold up?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">The classic supply chain network design study is built on averages, and a modern logistics network rarely behaves like its average. For most logistics companies, network design still happens once a year or less. A consultancy team arrives, asks a lot of questions and returns six weeks later with a thick report and an invoice to match.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">It feels safe. Someone expensive is responsible, and if the plan goes wrong, you hired the best. But the report is made of average volumes, average drive times, average costs and a growth assumption. None of your customers are average, and no Tuesday in December is either.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For a long time that was good enough. Then service windows narrowed, margins tightened, volumes became harder to predict and disruption became permanent. In An&#8217;s words, the report is a photograph and your network is a movie. By the time it is printed, the world it describes has already moved. What companies paid for was the feeling of certainty.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The cost of planning on a snapshot shows up in the data. In a <\/span><a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2026-07-14-gartner-survey-shows-72-percent-of-supply-chain-leaders-revisit-final-approvals-for-network-decisions-at-least-once-causing-delays\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">July 2026 survey of 151 supply chain leaders<\/span><\/a><span data-contrast=\"auto\">, Gartner found that 72% had to revisit a final approval for a network decision at least once, contributing to delays.<\/span><\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">&#8220;That will never work here&#8221;<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">To bring this to life, An introduced a planner she calls Sofie. Picture her running one of your depots for 22 years. Every morning, whatever the day throws at her, she makes the plan work. When the consultant&#8217;s recommendation lands on her desk, she says what every network study eventually hears: &#8220;That will never work here.&#8221;<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">She is right. Her time windows are missing from the model. So is the traffic on her ring road, her vehicle types, her driver rules and her customers&#8217; service level agreements (SLAs). The trade-offs in the report were never real trade-offs, because reality had been averaged away. The report goes into a drawer, the band keeps playing, and next year the same firm gets booked again.<\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2 aria-level=\"2\"><b><span data-contrast=\"none\">What is intelligent network planning?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Intelligent network planning runs strategic and operational planning on the same model. Whether the question is about next year&#8217;s depot footprint or tomorrow&#8217;s routes, it goes to one optimization engine that already carries every constraint of your daily operation.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<blockquote><p><i><span data-contrast=\"none\">&#8220;If you remember one thing from today, make it this one. Strategic and operational planning have to run on the same model.&#8221;\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:160}\">\u00a0<\/span><\/p><\/blockquote>\n<p><span data-contrast=\"auto\">Two separate models, one for strategy and one for operations, keep the gap that sent the consultant&#8217;s report into a drawer. One engine closes it. It is the engine Sofie already uses every morning, it holds the constraints her day already has, and you can point it at whatever question you need to ask.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><b><span data-contrast=\"none\">How do the four planning horizons connect?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Logistics planning runs on four clocks: years, months, tomorrow and minutes. In most companies each clock has its own tool, its own team and its own spreadsheet, and none of them talk to each other. Intelligent network planning connects them through a shared memory.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<table style=\"width: 100%; border-collapse: collapse;\" border=\"1\">\n<thead>\n<tr>\n<th><span style=\"color: #000000;\"><span class=\"EOP SCXW211239529 BCX0\" data-ccp-props=\"{}\"><span class=\"TextRun SCXW208697213 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW208697213 BCX8\">Horizon<\/span><\/span><span class=\"EOP Selected SCXW208697213 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span> <\/span><\/span><\/th>\n<th><span style=\"color: #000000;\"><span class=\"TextRun SCXW221425052 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW221425052 BCX0\"><span class=\"TextRun SCXW267663176 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SpellingErrorV2Themed SCXW267663176 BCX8\">Planning<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW267663176 BCX8\">level<\/span><\/span><span class=\"EOP Selected SCXW267663176 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/span><\/span><\/span><\/th>\n<th><span class=\"NormalTextRun SpellingErrorV2Themed SCXW5128631 BCX8\">Typical<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW5128631 BCX8\">questions<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><span class=\"TextRun SCXW183917984 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW183917984 BCX8\">Years<\/span><\/span><span class=\"EOP Selected SCXW183917984 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/td>\n<td><span class=\"TextRun SCXW233698294 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW233698294 BCX0\"><span class=\"TextRun SCXW265751290 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW265751290 BCX8\">Strategic<\/span><\/span><span class=\"EOP Selected SCXW265751290 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/span><\/span><\/td>\n<td><span class=\"TextRun SCXW89264291 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SpellingErrorV2Themed SCXW89264291 BCX8\">Where<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW89264291 BCX8\">should<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW89264291 BCX8\">depots<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW89264291 BCX8\">sit<\/span><span class=\"NormalTextRun SCXW89264291 BCX8\">? <\/span><\/span><\/p>\n<p><span class=\"TextRun SCXW89264291 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW89264291 BCX8\">How <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW89264291 BCX8\">big<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW89264291 BCX8\">should<\/span><span class=\"NormalTextRun SCXW89264291 BCX8\"> the <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW89264291 BCX8\">fleet<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW89264291 BCX8\">be<\/span><span class=\"NormalTextRun SCXW89264291 BCX8\">?<\/span><\/span><span class=\"EOP Selected SCXW89264291 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span class=\"TextRun SCXW3205358 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3205358 BCX8\">Months<\/span><\/span><span class=\"EOP Selected SCXW3205358 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/td>\n<td><span class=\"TextRun SCXW254219777 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SpellingErrorV2Themed SCXW254219777 BCX8\">Tactical<\/span><\/span><span class=\"EOP Selected SCXW254219777 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/td>\n<td><span class=\"TextRun SCXW187269301 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW187269301 BCX8\">How <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW187269301 BCX8\">should<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW187269301 BCX8\">territories<\/span><span class=\"NormalTextRun SCXW187269301 BCX8\"> and <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW187269301 BCX8\">sectors<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW187269301 BCX8\">be<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW187269301 BCX8\">drawn<\/span><span class=\"NormalTextRun SCXW187269301 BCX8\">? <\/span><\/span><\/p>\n<p><span class=\"TextRun SCXW187269301 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW187269301 BCX8\">How <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW187269301 BCX8\">is<\/span><span class=\"NormalTextRun SCXW187269301 BCX8\"> the <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW187269301 BCX8\">fleet<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW187269301 BCX8\">spread<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW187269301 BCX8\">across<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW187269301 BCX8\">sites<\/span><span class=\"NormalTextRun SCXW187269301 BCX8\">?<\/span><\/span><span class=\"EOP Selected SCXW187269301 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span class=\"TextRun SCXW237138763 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW237138763 BCX8\">Tomorrow<\/span><\/span><span class=\"EOP Selected SCXW237138763 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/td>\n<td><span class=\"TextRun SCXW93806703 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW93806703 BCX8\">Operational<\/span><\/span><span class=\"EOP Selected SCXW93806703 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/td>\n<td>&nbsp;<\/p>\n<p><span class=\"TextRun SCXW199182402 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SpellingErrorV2Themed SCXW199182402 BCX8\">What<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW199182402 BCX8\">does<\/span><span class=\"NormalTextRun SCXW199182402 BCX8\"> the plan for the <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW199182402 BCX8\">day<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW199182402 BCX8\">look<\/span><span class=\"NormalTextRun SCXW199182402 BCX8\"> like?<\/span><\/span><span class=\"EOP Selected SCXW199182402 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/td>\n<\/tr>\n<tr>\n<td><span class=\"TextRun SCXW246799746 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SpellingErrorV2Themed SCXW246799746 BCX8\">Minutes<\/span><\/span><span class=\"EOP Selected SCXW246799746 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/td>\n<td><span class=\"TextRun SCXW201411909 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SpellingErrorV2Themed SCXW201411909 BCX8\">Execution<\/span><\/span><span class=\"EOP Selected SCXW201411909 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/td>\n<td>&nbsp;<\/p>\n<p><span class=\"TextRun SCXW3256169 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3256169 BCX0\"><span class=\"TextRun SCXW234249507 BCX8\" lang=\"DE-DE\" xml:lang=\"DE-DE\" data-contrast=\"auto\"><span class=\"NormalTextRun SpellingErrorV2Themed SCXW234249507 BCX8\">Where<\/span> <span class=\"NormalTextRun SpellingErrorV2Themed SCXW234249507 BCX8\">does<\/span><span class=\"NormalTextRun SCXW234249507 BCX8\"> the <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW234249507 BCX8\">day<\/span><span class=\"NormalTextRun SCXW234249507 BCX8\"> stop <\/span><span class=\"NormalTextRun SCXW234249507 BCX8\">resembling<\/span><span class=\"NormalTextRun SCXW234249507 BCX8\"> the plan?<\/span><\/span><span class=\"EOP Selected SCXW234249507 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<span data-contrast=\"auto\">The consultant owns the first clock. Sofie owns the last two. In a connected setup, what the road reports at minute level corrects tomorrow&#8217;s plan, reshapes territories next quarter and informs the network question next year.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Today that memory rarely exists. The plan goes out, the day happens, and nothing comes back.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span>[\/vc_column_text][vc_single_image image=&#8221;34372&#8243; img_size=&#8221;full&#8221; css=&#8221;&#8221;][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2 aria-level=\"2\"><b><span data-contrast=\"none\">How can you test a new depot before you open it?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">You replay your real history with the new depot in it, which is the most reliable way to test any distribution network design decision. Imagine the board asks whether to open a depot in the south. The traditional approach asks what would theoretically happen, works it out on averages and produces something that looks defensible on a slide and unrecognizable to Sofie.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The operational engine asks a sharper question: what would actually have happened last month, with our real orders, our real trucks and our real constraints, if that depot had already existed?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Instead of a forecast you have to take on trust, you get last month (or last year) replayed. That gives a far higher level of confidence, and you only get it when the strategic question runs on the operational engine. As An put it, answering network questions at that level of detail used to be out of reach. Today it is possible, so there is little reason to settle for less certainty.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><b><span data-contrast=\"none\">Why do territories and depot boundaries cost so much money?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Tactical decisions sit in a gap where nobody is looking, and that is where money quietly leaks away. Everyone is good at today, because today, we have systems. Everyone is calm about next year, because next year has consultants. The weeks and months in between have neither.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Somewhere in your network there are depot boundaries drawn years ago by someone excellent at the job, who has since retired. It was a big exercise, so nobody wants to touch it. Those boundaries were roughly right in March. By July they are comfortably wrong, and nobody notices.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Which customer or postal code is served from which depot, how territories are shaped, how a mixed fleet is spread across sites: these are quarterly questions. With one engine, your own team can answer them every quarter without extra tools, and logistics network optimization becomes a routine task for the people closest to the operation. Nothing is built and nothing is bought. A line moves on a map.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">If you are not sure whether your own boundaries have drifted, these <\/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\">signs that your delivery network needs a redesign<\/span><\/a><span data-contrast=\"auto\"> are a good place to start.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><b><span data-contrast=\"none\">Why does the plan keep making the same mistakes?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Because most planning systems record what a planner changed and nothing about why. Every morning Sofie adjusts the plan, and she is nearly always right. She knows one customer&#8217;s loading dock only fits a small truck. She knows another closes early on Fridays, that a market fair blocks a street on Wednesday afternoons, and that a certain driver needs to be home on Tuesdays.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The system sees the change, forgets the reason and makes the same mistake the next day. When Sofie retires, 22 years of local knowledge walk out of the building with her.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The road tells the same story. Drivers resequence stops and know exactly how long each one really took. At best the system sees the deviation, but it never learns the cause, so tomorrow&#8217;s route goes out with the same assumptions, entirely confident.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Nobody did anything wrong. What is missing is a way for the planner, the road and the plan to learn from each other. A planning model that captures the intent behind a manual change, and puts execution data next to the plan, can avoid repeating the mistake.\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><b><span data-contrast=\"none\">What does a network planning model need before you can trust it?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Three things, and An called all three non-negotiable. Miss any one of them and the answer never survives contact with the depot:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ol>\n<li><b><span data-contrast=\"auto\">Every operational constraint is in it.<\/span><\/b><span data-contrast=\"auto\"> Real time windows, real traffic, your vehicle types, driver rules, loading realities and SLAs. No averages.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">It runs in the same tool as the daily plan.<\/span><\/b><span data-contrast=\"auto\"> One model and one data set, with nothing rebuilt for the study and nothing translated back afterward.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Your own experts run it.<\/span><\/b><span data-contrast=\"auto\"> People like Sofie, who use the tool every day and already carry the constraints in their heads. With a conversational, AI driven interface, even your CEO can ask the question. Network planning becomes a capability you own instead of an engagement you book.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ol>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">What can you ask once those three are in place?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Any question, on any horizon, which puts supply chain scenario planning in the hands of the planners themselves. Because the engine that builds tomorrow&#8217;s routes keeps all of its daily complexity when you point it at next year. One can ask:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">What if volumes grow 20%, or 10% in one region?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">What if we open a new region or a new sales channel?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">What do our peak weeks really look like, modeled as peak weeks instead of averaged away?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">If we push this network hard, where does it take on water first?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Every scenario still respects time windows, capacities, driver hours, traffic and SLAs, because it is the same solver that has to make tomorrow work. Simplifying the problem to fit a strategic tool is what produced the drawer full of reports.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><b><span data-contrast=\"none\">How long does it take to choose 60 depots out of 200?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">In An&#8217;s own test with PTV Mira, about six minutes. The question came from a real conversation. After an earlier Leaders in Logistics session, a network manager at a large postal company told her that a series of acquisitions had left them with 200 depots. That was far too many, and his boss had asked him to select 60. Could the system handle it?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">As a mathematician, An knew the answer would be a monster number. Choosing 60 locations out of 200 candidates gives roughly 7 \u00d7 10\u2075\u00b9 possible combinations: a seven followed by 51 zeros.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">To make that tangible, she offered a thought experiment. Give every person on Earth a supercomputer, start them all at the Big Bang and let each one check a billion billion combinations every second. Today, 13.8 billion years later, they would be 0.00005% done.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">So nobody, whether a planner, a consultant or a supercomputer, can simply try every option. You need an engine that knows where to look.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><b><span data-contrast=\"none\">What the test looked like<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">On the train home, An typed the question into PTV Mira, working on a sample data set instead of the customer&#8217;s data. She asked for three scenarios at once: the best 40, 50 and 60 depots out of 200, with depot capacity and throughput constraints included.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">About two minutes after the question, all three scenarios were running in parallel.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">The full conversation and analysis took around six minutes.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Follow-up questions, such as the average volume per depot in each scenario and how the scenarios compare, were answered in the same conversation.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Left to run for ten minutes, the engine refines the result further. No consultant, no data project, one conversation, led by the person who runs the network.<\/span><\/p>\n<p><span class=\"TextRun SCXW107229142 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107229142 BCX8\">Here is an example of the same kind of question on a different network:<\/span><\/span><span class=\"EOP Selected SCXW107229142 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_video link=&#8221;https:\/\/www.youtube.com\/watch?v=v4u_y1paRck&amp;list=PLfmltpc5zFKinNDV2_RR1m5BZO4hzwUg5&amp;index=9&#8243; css=&#8221;&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]<span class=\"TextRun SCXW58896610 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW58896610 BCX8\">The video\u00a0<\/span><span class=\"NormalTextRun SCXW58896610 BCX8\">here<\/span><span class=\"NormalTextRun SCXW58896610 BCX8\">\u00a0shows the same kind of question on a different network. A planner asks PTV Mira where to add a depot in a Belgian <\/span><span class=\"NormalTextRun SCXW58896610 BCX8\">logistics<\/span><span class=\"NormalTextRun SCXW58896610 BCX8\"> network, and which existing depot could go. PTV Mira first spots the long, expensive routes that push up the cost per stop. It then tests several candidate depot locations at once, from the coast to the Luxembourg border, and ranks the scenarios by cost, <\/span><span class=\"NormalTextRun SCXW58896610 BCX8\">distance<\/span><span class=\"NormalTextRun SCXW58896610 BCX8\"> and operational impact. One result stands out: an existing depot that can be removed altogether. The best scenarios bring lower costs, fewer <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW58896610 BCX8\">vehicles<\/span><span class=\"NormalTextRun SCXW58896610 BCX8\"> and fewer kilometers driven.<\/span><\/span><span class=\"EOP Selected SCXW58896610 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:279}\">\u00a0<\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text css=&#8221;&#8221;]<span data-contrast=\"auto\">The preparation that used to take a team weeks (historical data, simulation runs, result analysis, growth scenarios) is generated and run for you. Sofie can test ten versions of her own network before lunch, without booking anybody.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\"><strong><a href=\"https:\/\/www.ptvlogistics.com\/en-us\/products\/ptv-mira\" target=\"_blank\" rel=\"noopener\">PTV Mira<\/a><\/strong> is an interactive logistics intelligence agent that turns questions into real optimization runs, compares scenario alternatives and explains the results. It supports decisions without replacing them: users approve every action and stay in control.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2 aria-level=\"2\"><b><span data-contrast=\"none\">Why trust a conversational planning tool with network decisions?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Because the conversation sits on top of decades of optimization calibrated against real operations. The lifeboat looks small, An said, but underneath it is anything but. AI has made building an optimizer quick. It has done nothing to shorten decades of calibration on real life cases.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Knowing where to look in 7 \u00d7 10\u2075\u00b9 options is exactly what that calibration buys you.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p aria-level=\"3\"><b><span data-contrast=\"none\">Where is intelligent network planning heading?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The engine is only as good as the reality it is fed, so the next step is catching the signals most companies throw away every day. An described a roadmap in which PTV Mira learns from three sources:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">the manual changes planners make every day<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">feedback from execution on the road<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">the scenarios teams run each week or month<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">The system will first suggest changes based on those patterns. Once users trust the suggestions, it can automate them, and it gets smarter with every day it is used.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">An compared this with the early movers in autonomous driving, who started collecting road data long before anyone else and became very hard to catch.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<blockquote><p><i><span data-contrast=\"none\">&#8220;A feature can be copied. Usage and knowledge accumulation cannot.&#8221;\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><\/blockquote>\n<h2 aria-level=\"2\"><b><span data-contrast=\"none\">What should logistics leaders do now?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Close the gap between plan and execution, and ask every tactical or strategic question on your operational data and operational model. The technology to do that is available today.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Within one to three years, resilience will mean acting in the moment, whenever needed. Reacting well will no longer be enough. The danger of staying on the ship is hard to see at first. It shows up slowly, as a competitor who redraws territories around its depots every week or month while you replan every few years.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">By the time staying feels as dangerous as leaving, the best boats are gone. The companies that start now will have a model that gets smarter every week.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<blockquote><p><i><span data-contrast=\"none\">&#8220;Nobody is asking you to jump into the ocean. Just to step into the boat while the lights are still on. One foot at a time.&#8221;<\/span><\/i><span data-ccp-props=\"{&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:160}\">\u00a0<\/span><\/p><\/blockquote>\n<p><span data-contrast=\"auto\">Trucks run on diesel. Network planning runs on data. <\/span><b><span data-contrast=\"auto\"><a href=\"https:\/\/www.ptvlogistics.com\/en-us\/products\/ptv-mira\" target=\"_blank\" rel=\"noopener\">See how PTV Mira answers network questions on your own operation. Reach out to us for a demo<\/a>.<\/span><\/b>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2><strong><span class=\"TextRun SCXW106520478 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW106520478 BCX8\" data-ccp-parastyle=\"heading 2\">Frequently asked questions<\/span><\/span><span class=\"EOP Selected SCXW106520478 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/strong><\/h2>\n<p>[\/vc_column_text][vc_toggle title=&#8221;What is supply chain network design?&#8221; css=&#8221;&#8221;]<span class=\"TextRun SCXW65573708 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW65573708 BCX8\">Supply chain network design decides where depots and warehouses sit, how many you need, which customers each one serves and how goods flow between them. <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW65573708 BCX8\">Traditionally<\/span><span class=\"NormalTextRun SCXW65573708 BCX8\"> it is a periodic study built on average volumes and costs. Intelligent network planning runs the same questions on the operational model, with every real constraint included.<\/span><\/span><span class=\"EOP Selected SCXW65573708 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span>[\/vc_toggle][vc_toggle title=&#8221;What are the benefits of supply chain network design on an operational model?&#8221; css=&#8221;&#8221;]<span class=\"TextRun SCXW5973412 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW5973412 BCX8\">The answers survive contact with the <\/span><span class=\"NormalTextRun SCXW5973412 BCX8\">depot, because<\/span><span class=\"NormalTextRun SCXW5973412 BCX8\"> they respect real time windows, traffic, vehicle <\/span><span class=\"NormalTextRun SCXW5973412 BCX8\">types<\/span><span class=\"NormalTextRun SCXW5973412 BCX8\"> and driver rules. You can test a decision by replaying last month&#8217;s real <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW5973412 BCX8\">orders,<\/span><span class=\"NormalTextRun SCXW5973412 BCX8\"> your own planners can revisit territories every quarter, and scenarios run in minutes or hours instead of weeks.<\/span><\/span><span class=\"EOP Selected SCXW5973412 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span>[\/vc_toggle][vc_toggle title=&#8221;What is transportation network optimization?&#8221; css=&#8221;&#8221;]<span class=\"TextRun SCXW129252478 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW129252478 BCX8\">Transportation network optimization finds the best combination of depots, territories, <\/span><span class=\"NormalTextRun SCXW129252478 BCX8\">fleet<\/span><span class=\"NormalTextRun SCXW129252478 BCX8\"> and routes to serve demand at the lowest cost within your service levels. The number of options grows fast: choosing 60 depots out of 200 candidates gives <\/span><span class=\"NormalTextRun SCXW129252478 BCX8\">roughly 7<\/span><span class=\"NormalTextRun SCXW129252478 BCX8\"> \u00d7 10\u2075\u00b9 combinations, so an optimization engine <\/span><span class=\"NormalTextRun AdvancedProofingIssueV2Themed SCXW129252478 BCX8\">has to<\/span><span class=\"NormalTextRun SCXW129252478 BCX8\"> know where to look.<\/span><\/span><span class=\"EOP Selected SCXW129252478 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span>[\/vc_toggle][vc_toggle title=&#8221;How often should you review your logistics network?&#8221; css=&#8221;&#8221;]<span class=\"TextRun SCXW36018287 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW36018287 BCX8\">More often than once a year. In An De Wispelaere&#8217;s view, depot boundaries and territories are quarterly questions, and the network itself should be reconfigured continuously as execution data comes in. When planning runs on the same engine as daily operations, a review becomes a conversation instead of a project.<\/span><\/span><span class=\"EOP SCXW36018287 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span>[\/vc_toggle][\/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; css=&#8221;&#8221; btn_link=&#8221;url:https%3A%2F%2Fwww.ptvlogistics.com%2Fen-us%2Fproducts%2Fptv-mira|target:_blank&#8221;]<\/p>\n<h2><strong>Test your next depot on last month\u2019s reality<\/strong><\/h2>\n<p>PTV Mira replays your real orders, trucks and constraints, so you can see what a network change would have done before you make it.[\/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; el_class=&#8221;product-teaser&#8221; btn_link=&#8221;url:https%3A%2F%2Fdeveloper.myptv.com%2Fen|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\">Logistics network design built on averages ends up in a drawer. PTV Logistics&#8217; Chief Innovation Officer, An De Wispelaere explains why strategy and operations must share one model. [&#8230;]<\/p>\n<p class=\"m-0\"><a class=\"btn btn-outline-secondary btn-read-more\" href=\"https:\/\/blog.ptvlogistics.com\/nl\/transport-en-logistiek\/intelligent-network-planning-one-model-for-logistics-network-design\/\">Lees meer<\/a><\/p>\n","protected":false},"author":117,"featured_media":34466,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[8319,8342,8320,1539],"tags":[],"class_list":["post-34436","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-ptv-mira","category-smart-sectorization","category-transport-en-logistiek"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Logistics network design: why planning needs one model | PTV Logistics Blog<\/title>\n<meta name=\"description\" content=\"Logistics network design built on averages fails at the depot. 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