Purchasing AI
for Distributors

Lantern combines your sales, inventory, and purchasing data with relevant external signals. We prepare and structure that data, then build models tailored to your products and locations, so your buying plan reflects how your business actually works.

Steady sellers, seasonal peaks, and sporadic orders need different forecasts. Lantern learns demand for every item and location, adapts as new sales arrive, and carries relevant history forward as products change so each branch buys against its own forecast.

Lantern learns from your purchase and delivery history to forecast how long replenishment will take. As supplier lead times get longer or less predictable, your stocking recommendations adjust to help keep customers supplied.

Lantern checks stock across your network and what’s already on order, then accounts for pack sizes, supplier minimums, and freight targets. Buyers get a clear recommendation to buy, transfer, or wait, with orders ready to review and send to the ERP.

Direct supplier deliveries, distribution centers, regional hubs, and independent branches all fit into one connected plan. Lantern accounts for how stock moves between locations, so purchase and transfer recommendations follow the replenishment routes your business actually uses.