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Supply chain planner — tasks, one by one
The unit of analysis is the task, not the job title. Each one below carries its direction, whether the judgement rests on evidence or on platform inference, the reasoning, and what it does not establish.
Every task on this page#
Demand forecasting
Automating✓ Evidence-backedProducing the forecast of what customers will buy, by item, place and week, and adjusting it for promotions and events.
At large companies the forecast itself is now machine-made. Unilever says its forecast engine generates a 104-week forecast every week across more than 5 million product–customer combinations in 40 markets; Amazon says a foundation model improved its long-term national forecasts for deal events by 10% and regional forecasts for millions of popular items by 20%; and the US FDA runs a deployed model forecasting demand for critical medical devices in scenarios such as natural disasters.
These are the companies' and agency's own accounts of their systems; none reports how many planners adjust the forecasts or what happened to planning jobs.
Replenishment and inventory
Automating✓ Evidence-backedSetting safety stock and reorder quantities, deciding what to replenish where, and moving excess stock to where it is needed.
Some retailers now let the algorithm decide. Alibaba has been exploring a replenishment system in which algorithmic recommendations are final, after finding its algorithms beat human buyers on out-of-stock rates and inventory levels; JD.com measures an automation rate — the share of replenishment decisions output by models and adopted without change — and reports that a new model cut turnover by 5.27 days in a field deployment; Walmart says a system that automatically reroutes overstocks has saved it more than $55 million.
Company accounts and company-co-authored studies from the largest retailers; none measures planner headcount, and across the EU only 6.08% of enterprises using AI applied it to logistics in 2025.
Planning meetings and trade-offs
Still human-led✓ Evidence-backedBalancing supply against sales in sales and operations planning, deciding what gives when capacity, cost and service conflict, and answering for the plan.
The companies with the most automated planning still describe the final call as a person's: Unilever says its people provide the judgement, context and experience needed to make the final decisions, and in Microsoft's cloud supply chain, planners confirm that an optimisation meets business needs or override it. US projections expect logisticians' employment to grow 18 percent from 2025 to 2035.
Statements by companies about their own processes, and a projection for a wider US occupation; nothing here measures how planning meetings have changed.
Disruptions and re-planning
Being augmented✓ Evidence-backedSeeing a disruption coming — weather, a port, a supplier — working out what it does to the plan, and re-planning.
Tools now run the what-if analysis and planners act on it. Walmart says planners use weather simulations to see how a storm could affect inventory, routes and deliveries and to reposition inventory before it hits; at Microsoft, answering one what-if question on the cloud supply chain used to need more than three operators and an on-call engineer before an LLM-based tool was deployed.
Company accounts; Microsoft's tool reports preliminary accuracy only, and neither measures planner time or staffing.