Order Promising

AI helps supply-chain teams assess available supply, changes, and shortages when promising customer orders.

Business impact

• Out-of-stocks — Ulta Beauty reported that the system reduced out-of-stocks.

Data requirements

• Sales orders (tabular) — AMD uses sales-order data to investigate order changes.
• Allocations (tabular) — Allocation data is part of the order-availability check.
• Shortages (tabular) — Shortage information is used to identify supply constraints.
• Fulfillment network inventory (tabular) — Ulta’s system supports decisions across the fulfillment network.

AI methods and techniques

• Generative AI — AMD uses generative AI to surface recommendations in a conversational interface.
• Recommendation generation — The system proposes actions based on sales-order changes, allocations, and shortages.

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: AMD, Ulta Beauty.