Replenish Fresh Without the Waste

Fresh Replenishment, Supply Chain Planning

The Problem

Fresh is where retail replenishment is hardest. Order too little and shelves go empty; order too much and it expires before it sells. With fresh, a mistake shows up in days, not weeks. Yet most retailers still order fresh in spreadsheets, re-planned once a day at best, while deliveries land short and demand swings with every promotion.


How we solve it

Every day, fresh planning has to answer three questions for every item, warehouse and store: how much, when and where. Dataviva Supply Chain Planning answers them from the demand forecast, each product’s shelf life, and each supplier’s lead times and delivery days. It recalculates every time you can send new product to a store, using the freshest data and optimizing across stores and the next few days of demand.

Order to sell, not to spoil. Target stock is capped at what will sell between delivery and expiry. Dataviva projects how much will spoil in each store, from expected receipts, time to expiry and how customers buy, and replenishes to cover it. When an order rounds up to a full case, it only does so if the expected loss stays within the limit you set.

Keep the warehouse fresh too. Warehouse stock close to expiry is pushed to the stores that need it most, before it goes to waste, with planners notified. Suppliers can be split by day of the week, so stores get the freshest product and smaller local suppliers get their share. Orders are rounded to cases, pallets and full, cost-effective truckloads, and flow into purchasing for approval and issue.

One plan, supplier to shelf. Supplier-to-warehouse and warehouse-to-store orders are planned together, across the whole network and several weeks ahead. When a delivery lands short, the plan re-allocates what actually arrived. Built for high-volume grocery, on a platform that scales out and runs with full high availability and disaster recovery.

  • Takes in sales, stock, receipts and shelf life from your systems as they change
  • Forecasts and orders by weight as well as by unit
  • Caps target stock at the most you can sell before expiry
  • Projects store spoilage and replenishes to cover it
  • Pushes near-expiry warehouse stock to stores by need
  • Rounds to packs only within your acceptable-loss limit
  • Builds full truckloads from cases and pallets
  • Recalculates on every change, with planners working by exception
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