Automated replenishment software to get the right products to the right location at the right time — at the lowest cost possible.
Automated replenishment software to get the right products to the right location at the right time – at the lowest cost possible.
Automated replenishment software to get the right products to the right location at the right time — at the lowest cost possible.
Retalon’s auto-replenishment software handles all your routine replenishment calculations while optimizing your inventories with a state-of-the-art forecast. In addition, the software automatically generates purchase orders with optimal quantities, accounting for everything from lead time variability to vendor prices.
Keep operational costs under control while safeguarding profits. If you reduce inventories too aggressively, you might face out-of-stocks, lost sales, and unhappy customers. So it’s important to reduce costs only in ways that maintain revenues.
Avoid hours and days analyzing and consolidating data. The system intelligently accounts for events, promotions, lead times, multi-channel order fulfillment, planograms, fixture diversity, fixture min/max, destination capacities, container constraints, seasonality, assortment/merchandise plans, and more.
Built to translate infinite granularity and complexity into an incredible level of simplicity.
Automatically generates your most optimal shipping order quantities.
Designed to support complex multi-echelon replenishment processes for omnichannel retailers.
Adjusts to account for promotional uplifts, changing demand, seasonal peaks, capacities and lead-times.
Configure all shipments to fit your policies, planogram restrictions, pre-packs, fixture min/max and more.
Connect replenishment with other key processes like planning, purchasing, allocation, promotions, and markdowns.
All Retalon solutions run on our award-winning retail AI engine and are unified on one common retail platform.
Experience a live demo with our experts to explore hidden opportunities and solve your biggest challenges.
