Run your produce department on Afresh
Grocery-specific AI for store ordering, production planning, and DC buying — built for how produce departments run.
Solving the problems in every produce department
Today’s Challenges
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.
An AI-Powered Approach for Produce
Afresh uses produce-specific intelligence to untangle unit-of-measure mismatches, receiving errors, and missing scan data, building a more reliable decision-making foundation.
01
Orders account for every item form
Avocado order recommendations know how many you'll sell as eaches, how many go into store-made guacamole, and suggest the right amount of cases.
02
Perishability-aware recommendations
Shelf-life modeling and fresh inventory intelligence improves order accuracy to keep bins full and shrink low.
03
Coordinated store and DC decisions
Every order and PO sees the same inventory, demand, and promotion signals, keeping recommendations accurate and optimized for the same goals.
How Afresh works in produce departments
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.
1
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.
2
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.
3
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.
4
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.
5
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.
