Grocery · Assortment

Assortment Planning that actually works for Grocery retail.

Assortment Planning at scale. Ward handles it across every store.

How Ward handles Assortment in Grocery & Supermarket

Ward analyzes sell-through by store cluster to recommend which SKUs to add, drop, or reallocate.

Ward clusters stores by demographic, traffic, and sales patterns, then measures SKU performance against cluster benchmarks.

app.getward.ai
Assortment for Grocery — live product demo.

What changes for your team

  • Store cluster segmentation
  • SKU rationalization recommendations
  • Whitespace opportunity detection
  • Planogram optimization inputs

Why assortment matters
in grocery retail.

Every assortment addition displaces something else, so the real question is incremental contribution after cannibalization and basket effects. Ward clusters stores by demographics, traffic, and competitive landscape, then benchmarks SKU performance at the cluster level to produce assortment recommendations that go beyond national planograms.

Category review, natural/organic section

A category manager reviews the natural/organic section across 300 stores. Ward's analysis reveals three distinct clusters: urban health-conscious stores that should carry more SKUs, suburban stores aligned with the national plan, and rural locations where organic moves at a fraction of the estate average. The one-size-fits-all planogram is leaving revenue on the table in urban stores while tying up slow-moving inventory in rural ones.

What a Ward card looks like.

Ward · Assortment for Grocery06:47 AM

Cluster B stores (urban, high-traffic) underperforming on premium snacks vs Cluster A by 34%. Assortment gap: 12 SKUs missing.

✓ Action recommendedGrocery context applied

Grocery assortment:
the shift.

Without Ward
Found in the quarterly review — weeks after the damage is done.
  • ×Fresh waste & spoilage
  • ×On-shelf availability gaps
  • ×Promo cannibalization
With Ward
Caught this morning. Root cause attached. Action recommended.
  • Store cluster segmentation
  • SKU rationalization recommendations
  • Whitespace opportunity detection

Grocery KPI impact.

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.

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.

Questions about assortment.

No. Ward sits on top as the intelligence layer that watches your data.

TLS 1.3, AES-256 at rest. SOC 2 Type II in progress. On-prem available.

Yes. Ward scales from 5 stores to 5,000.

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

Grocery retailers: see what Assortment problems Ward catches.

Root causes, not just alerts. See it on your data.

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