Your plan started deviating
the moment you published it.
Every purchase order, production order, and stock transfer is a bet on your business. Pillar AI tells you the odds - so you win 4 out of 5.
Animation: a forecast of a 3-week supply chain plan. An inventory axis is coloured by zone: out of stock below the critical out-of-stock level of 5,000 units, in range up to the critical overage level of 9,000, overstock above it. You plan to end week 3 with 8,000 units, in range. The most likely outcome runs through demand, production and delivery, each outcome with its own odds: strong demand, a short production run and a port delay, which end out of stock, far from the plan. Pillar's simulation then plays out thousands of scenarios and builds a histogram of closing inventory level around the most likely outcome: most end out of stock. A chat with the Pillar agent opens beside it and a planner says these out-of-stock odds are unacceptable and asks Pillar for a recommendation. The answer plays on the same histogram: under Pillar's plan, on the same inventory, the same scenarios move to new levels and most now end in range, and the most likely outcome moves with them into the range, shown against an outline of the original plan. The planner says they don't want to build more inventory and asks for an offsetting reduction. Pillar finds another DC in the network likely to come in over plan and reallocates from it. The answer is a curve of service level against inventory turns: the plan on its own trade-off, and three options on Pillar's curve further out, with better service on the same inventory highlighted, beside the same service with less inventory and less inventory with better service.
River answers inside the assistant your planners already use. Behind every answer, it plays out thousands of scenarios for your supply chain and finds the plan that holds up across them.
