Mentioned in 91 AI use cases across 28 industries
An optimization system chooses which ships should carry which cargo requests and in what sequence, so the fleet moves more cargo with less waiting and lower fuel spend.
Software automatically decides which delivery team should take which orders and in what order, so bulky home deliveries arrive on time with less manual planning.
Software helps store teams know which tasks matter most and when to do them so stores run better.
Airbus tests different future demand situations in software before spending money on spare parts, helping it buy the right amount instead of too much or too little.
Instead of waiting for problems to show up late, Ace gets ongoing monitoring and alerts from specialists when the system detects possible supply chain issues.
Checks inventory, components, and substitute options across locations to tell customers when an order can really be delivered.
Even if a store does not have reliable stock counts, AI estimates what is really left and helps place better orders, which is especially useful for fresh food.
Store managers can use the same mobile system to see what shelves need attention and create tasks on the spot when they notice something missing.
The retailer replaced spreadsheet-based planning with one AI system that predicts demand and helps decide how much inventory to replenish across stores, catalog, and online channels.
The software not only decides what to ship, but also packs shipments so trucks are used efficiently without hurting store stock levels.
AI helpers coordinate sales, demand, inventory, supply, and production plans so teams can make one connected plan instead of many disconnected spreadsheets.
Forecast demand for each SKU at each branch, then set smarter replenishment rules so stores stay stocked without overbuying.
AI predicts what each coffee shop will need, then helps order the right products automatically so baristas spend less time on paperwork and more time serving customers.
This lets planners see product pictures inside planning workbooks so they can review forecasts and new items with visual context.
GAINS lets leaders test 'what if' situations—like supply shocks or demand surges—before they commit money or parts, so they can choose safer plans.
When a promotion is running low on stock or a product should be added to shelves, AI agents can spot it and push the needed reorder or planogram update.
An AI watches the supply chain continuously, spots problems like delays or demand spikes, and either fixes them automatically or asks a human only when needed.
The planner can choose whether to plan only scheduled items, also include sales-order items, and optionally pull in critical components needed to support those items.