Retail & grocery
Keep fresh on the shelf and off the shrink report.
Fresh departments live and die by shelf life. Store orders, deliveries, markdowns and shrink each sit in a different system, and the buyer often sees them a day late. Terri connects store, warehouse, supplier and transportation data into one live model, so the next order, markdown and truck are decided on what’s really there.
What changes every day
Supplier quality and code dates vary load by load. Weather, promotions and holidays swing demand by store. A late truck empties a shelf, and an early one fills the backroom.
Agents that apply here
Where the day breaks, and what handles it
Fresh demand swings by store and by day.
Demand Sensing reads orders, history, promotions and seasonality in one model, by item and channel.
Short-dated product sits where it won’t sell.
Dynamic Allocation sends the shortest-life product where it will sell fastest.
Supplier quality varies load to load.
QC Platform records quality at receiving and traces every lot back to the supplier.
Every store needs something slightly different.
Build store-specific agents on Terri in hours: order suggestions, markdown timing, backroom alerts, all under the same rules.
Agents you could build next
The stack does the heavy lifting, so each of these is hours of work, not a project.
Fresh order suggestion
Suggests each store’s fresh order from sales, deliveries and shelf life.
Markdown timer
Flags product to mark down while it still sells at a margin.
Backroom alert
Spots product in the backroom that should be on the shelf.
Supplier scorecard
Grades suppliers on quality, fill rate and on-time delivery.
Illustrative examples. Each runs on the same data and rules as the agents above.
Connects to what you run
ERP, warehouse and transportation systems, store sales data, supplier EDI and spreadsheets, live in one data model. Your ERP stays the system of record. See integrations
See your fresh departments on one set of numbers.
Bring a week of store orders, deliveries and shrink. We’ll show you what Terri sees, and the first agent we’d build.

