Afresh uses grocery-specific AI for store ordering, production planning, and DC buying — built for how produce departments run.

Produce turns fast, spoils faster, and sells in more forms than typical center store items. Every form, pack, and price change makes the decision making harder.
Culling product that should have sold
Orders are off and shoppers find empty shelves
Inventory feeds don’t match what's on the shelf
Buyers have 1000 SKUs to look through every day
Normalized item mapping, shelf-life intelligence, and whole-department automation
Afresh uses produce-specific intelligence to untangle unit-of-measure mismatches, receiving errors, and missing scan data, building a more reliable decision-making foundation.
Order recommendations pull from true demand across every item form
Shelf-life modeling and inventory awareness cut spoilage
Stores and DCs work from the same picture to meet promotion demand
Your produce department sells strawberries in multiple forms across the store: in clamshells, in cut fruit mixes, and in parfaits. Here’s how Afresh coordinates everything from raw data to fruit cups to DC purchases.
Store Ordering
The right amount on the shelf every morning
Strawberries sold in clamshells and used in cut fruit mixes arrive at the store in the same form, but sell to customers under different SKUs. Afresh links demand across both items to determine how much they need to order by simulating thousands of scenarios, weighing shrink, freshness, and on-hand inventory to make one optimized recommendation.
Inventory Management
Know what's actually on the shelf
Afresh keeps track of what's on the shelf, in transit, and on order so that your strawberry clamshell and cut fruit mix count is accurate based on recent sales, shipments, and perishability by vendor and season.
Production Planning
Make the right quantities at the right times
Teams see daily plans with quantities and schedules for cut fruit mixes. Plans consolidate prep for each ingredient item and account for forecasted demand, shelf life of the cut fruit, and inventory on hand.
Period Ending Inventory
Faster inventory counts with better accuracy
Daily signals continuously update a store’s inventory model. At the end of the period, store teams review pre-populated estimates for strawberry clamshells and the rest of the department, making period-end inventory counts faster and more accurate.
DC Buying
Store and DC decisions stay connected
When the forecast predicts an increase in demand for a Fourth of July weekend strawberry promotion, upstream purchase orders adjust automatically. The buyer's recommendation reflects what every store actually needs, with lead times and vendor constraints factored in.
From strawberries to soda, discover how Afresh improves margins across every aisle.