Home · Stockout

Home Stockout: insight cards, not dashboards.

Ward delivers Stockout findings as insight cards with recommended actions.

The Stockout capability built for Home Improvement

Ward detects SKUs trending toward zero-on-hand and alerts your team with replenishment recommendations before customers notice.

Ward analyzes sell-through velocity, current inventory levels, lead times, and supplier reliability to predict stockouts 24-72 hours before they occur.

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Stockout for Home — live product demo.

What changes for your team

  • Reduce lost sales by catching gaps early
  • Automated replenishment recommendations
  • Supplier-aware lead time modeling
  • Priority ranking by revenue impact

Why stockout matters
in home retail.

A missing grout SKU doesn't just lose a grout sale — it kills the entire tile project basket. Ward models project basket dependencies and scores stockout predictions by basket-impact, prioritizing replenishment on the items with the highest project-abandonment risk.

Project basket dependency alert, spring season

Ward detects a popular deck stain trending toward stockout as spring project season peaks. The insight goes beyond the stain itself: project basket analysis shows customers buying this product also purchase brushes, drop cloths, and sandpaper. Ward issues a prediction card with full basket-impact context, and the DC team expedites replenishment to protect total project basket revenue across affected stores.

What a Ward card looks like.

Ward · Stockout for Home06:47 AM

23 SKUs trending toward zero-on-hand within 48 hours. Replenishment recommendation attached. Priority: dairy and produce categories.

✓ Action recommendedHome context applied

Home stockout:
the shift.

Without Ward
Found in the quarterly review — weeks after the damage is done.
  • ×Project basket identification
  • ×Seasonal pre-positioning
  • ×Long-tail inventory
With Ward
Caught this morning. Root cause attached. Action recommended.
  • Reduce lost sales by catching gaps early
  • Automated replenishment recommendations
  • Supplier-aware lead time modeling

Home KPI impact.

Seasonal Accuracy
Weather + event driven
Pre-positioning adjusted for peak season signals.
Long-Tail Turn
Dead weight separated
Which tail SKUs serve project needs vs sit idle.
Project Basket Value
Cross-sell surfaced
Project purchasing patterns drive attachment.

Ward requires 6\u201312 months to baseline seasonal categories. Pro vs DIY segment separation is critical for accurate modeling.

Questions about stockout.

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

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

SAP, Oracle Retail, Shopify, BigQuery, Snowflake, flat files, and any system with a REST API.

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
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Guarantees any single model stays on top

Home retailers: see what Stockout 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.

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