Grocery & Supermarket · 30,000+ SKUs

Ward for
Grocery retail.

Fresh waste & spoilage. On-shelf availability gaps. Fresh availability, shrinkage, and promo effectiveness across hundreds of stores. Ward monitors perishable turn rates and flags waste before it happens.

U.S. grocery shrinkage topped $37 billion in 2023, with perishable waste accounting for nearly a third.— FMI — The Food Industry Association
Grocery store fresh produce aisle with colorful fruits and vegetables
Fill rate Shrinkage % Fresh waste %

Problems Grocery operators
find too late.

  • Fresh waste & spoilage
  • On-shelf availability gaps
  • Promo cannibalization
  • Supplier fill rate variance
  • Seasonal demand spikes
app.getward.ai
Ward analyzing Grocery retail data. Live product, real data lake.

Where Grocery operators
leave money on the table.

These are the KPIs Ward monitors — and what changes when someone is actually watching.

Shrinkage
Cause-level attribution
Loss prevention shifts from guesswork to targeted intervention.
Fill Rate
24–72hr head start
Stockout prediction cards arrive before customers notice gaps.
Fresh Waste
Flagged before spoilage
Perishable turn rates monitored by store.
Promo ROI
Net lift, not gross
True lift net of cannibalization and pull-forward.
Important caveats

Impact timing depends on perishable mix, supply chain maturity, and data integration depth. Retailers with fragmented POS or ERP systems should expect a longer ramp to baseline accuracy.

Ward
Insight
Dispatch
Feedback
Evaluate
Learn
01

Insights surface

Ward’s agents detect what changed, why it matters, and what to do about it. Every insight includes a recommended action—not just a chart to interpret.

Real-time detection Root cause + recommendation
02

Insights become actions

Any insight card can be turned into a tracked ticket or task. Dispatched to the right person, on the right channel—mobile push, text, or email. Not every insight needs a ticket. But when one does, it has an owner.

Tickets created automatically Dispatched to the right person
03

Your team responds

Insights get voted up or down with reasoning. Tickets get completed or rejected. Every response is a signal—Ward learns what worked, what missed, and why.

Vote up / down Ticket completed Reasoning attached
04

Outcomes measured

Ward evaluates real results: revenue, margin, fill rate, labor cost. Did the action actually improve the number it targeted? Measured outcomes, not assumptions.

KPI impact tracked Results vs. prediction scored
05

Agents get sharper

Every vote, every completed ticket, every measured outcome feeds back in. Ward learns from your team’s judgment and real-world results. Each cycle sharpens the next. Then it starts again.

Cycle repeats, sharper each time
$1.8T
Projected global AI market by 2030
0
×
Customer acquisition lift for data‑driven orgs
0
+
Foundation models shipped since 2022
0
Guarantees any single model stays on top

See what Grocery operators are missing.

Ward finds the margin leaks, shrinkage patterns, and promo misfires your reports don’t surface.

Get a demo

Find out what your data has been hiding.

Tell us about your operation. We’ll show you the problems Ward catches — and the ones your current tools miss.

Step 1 of 3
What are your goals?
Step 2 of 3
About your operation
Step 3 of 3
Your contact info