AI + Retail & Grocery
Retail automation that keeps shelves, staff, and service aligned
Agentic workflows deliver SKU-level insights, reorder recommendations, and staffing support without losing the human touch.
Use cases
Smarter inventory decisions, fewer manual checks
Forecasting and replenishment become proactive rather than reactive.
SKU-level insights
Track performance, detect anomalies, and prioritize replenishment actions.
Waste reduction
Shrink reporting, expiry alerts, and reorder recommendations with human review.
Ordering automation
Proposed purchase orders and vendor follow-ups aligned to policy.
Staffing suggestions
Scheduling recommendations based on demand and service goals.
Automate the repetitive. Protect the human.
Where Ed plugs in
Connected to the POS, ERP, and supply chain you already run
Ed reads live transaction and inventory data from systems like NCR, Toast, Square, and SAP Retail — turning perpetual-inventory noise into decisions a store manager can act on.
Perishable markdown & shrink control
Ed watches sell-through against expiry dates and proposes timed markdowns on perishables before they hit the dumpster — the single biggest controllable cost in a grocery P&L. Managers approve the markdown.
Demand-aware replenishment
Blend POS velocity, seasonality, weather, and local events to forecast SKU-level demand and draft purchase orders against vendor lead times and case-pack sizes — cutting both stockouts and overstock.
Planogram & out-of-stock detection
Reconcile on-hand counts against sales to surface phantom inventory and on-shelf gaps, then generate the pick list to restock — so a product that’s “in the system” is actually on the shelf.
Labor scheduling to foot traffic
Draft weekly schedules that match cashier and floor coverage to forecast traffic while respecting availability and labor rules — balancing service levels against payroll, with the GM making the final call.
Promo & price-change execution
Stage weekly ad and price-zone changes across the POS and electronic shelf labels, then verify they took effect register-side — catching the mispriced item before a customer does at checkout.
Multi-store memory
Ed remembers each store’s patterns — what sells, which vendors slip, where shrink concentrates — and carries that context forward, so a new district manager inherits institutional knowledge instead of starting cold.
Why Ed — not just AI
Why retail and grocery need Ed at SKU level
Margins live and die at the shelf. Ed remembers demand, waste, and staffing patterns down to the SKU and acts on them in real time.
Waste and stockouts, predicted
Ed learns demand by SKU, season, and store, cutting spoilage and lost sales instead of guessing from last week's spreadsheet.
Staffing that matches the rush
Ed forecasts traffic and aligns labor to it — fewer idle hours, fewer overwhelmed shifts.
Remembers every location
Each store's quirks compound in Ed's memory, so the chain gets sharper everywhere over time.
The difference: generic AI forgets between conversations and resets to zero. Ed runs on Memory Statue v2.6 — Prismatic Recall: persistent, governed, auditable memory and long-horizon operation, with a human in the loop where it matters.
Shrink, stockouts, and mis-staffing bleed thin margins every single day.
Ready when you are
Make every store smarter
We integrate with your inventory and staffing systems for measurable operational impact.