Insight card · Assortment

Assortment Planning

Stock what sells. Cut what doesn't. Most retailers discover this too late — in a post-mortem, a quarterly review, or a customer complaint. Ward surfaces it while there’s still time to act.

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

How Ward catches what your reports miss

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

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Assortment — live product demo against a real retail data lake.

What changes for your team

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

Every finding shows its work. Confidence scores, forecast blockers, goal relevance — pin it, ask about it, or investigate deeper.

Ward evidence panel: forecast blockers with confidence scores and investigation actions
Composable chart cards

Ward builds charts on the fly from your question. Revenue vs. margin, category comparisons — generated in seconds, pinnable to any dashboard.

Revenue vs gross margin chart card generated from natural language query

Sample insight card

Ward · Assortment06:47 AM

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

Assortment by role

Available for every vertical

Assortment by integration

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
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Customer acquisition lift for data‑driven orgs
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Foundation models shipped since 2022
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Guarantees any single model stays on top

Stop finding Assortment problems in the post-mortem.

See what Ward catches — and when.

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.

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