Logistics is struggling to attract people. According to the IRU Global Driver Shortage Report 2025, around 2.9 million truck driver positions remain unfilled across the 18 markets surveyed. The same pressure reaches the planning desk. The transport planner role is hard to fill<\/strong>, and the pool of experienced candidates keeps shrinking. When planning relies on what a few people remember, every new hire or change of role means months of shadowing <\/strong>before anyone can work independently. Your transport strategy ends up resting on undocumented mental models rather than objective, scalable rules.<\/p>\n Breaking this bottleneck means moving know-how out of individual minds and into a system<\/strong>. Decision Support Systems built on mathematical optimisation and AI make tacit knowledge explicit and translate it into clear mathematical constraints. The process has a valuable side effect: it pushes your organisation to ask whether current planning habits are genuinely effective, or simply how things have always been done.We combine scientific expertise with end-to-end domain knowledge<\/strong> to model your specific operational reality. Our intelligent components then standardise the daily workflow, creating a process that holds up regardless of who sits at the desk.<\/p>\n Intelligent planning components lower the entry barrier for junior staff<\/strong> from day one, guiding their everyday decisions. Senior planners, in turn, can step back from repetitive manual tasks and focus on higher-value strategic work. We applied this approach for a leading company in the food sector. By standardising its transport planning processes, we completed a job rotation for three out of four planners in just one month:<\/strong>proof that a planning role no longer depends on the person who used to hold it.<\/p>\n Business continuity should rest on data and models, not on individual memory. Let\u2019s talk about your planning processes and start engineering your decisions together.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":" A shortage of qualified planners and long training periods are holding logistics back. Moving operational know-how from individual minds into intelligent systems makes processes more flexible, more standardised and more resilient over time.<\/p>\n","protected":false},"author":8,"featured_media":47599,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[934],"tags":[],"class_list":["post-47602","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-insights-2"],"acf":[],"yoast_head":"\n<\/h2>\n
From individual habits to intelligent rules<\/p>\n<\/h2>\n
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Operational flexibility, real-world impact<\/h2>\n