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.
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.
23 SKUs trending toward zero-on-hand within 48 hours. Replenishment recommendation attached. Priority: dairy and produce categories.
Home stockout:
the shift.
- ×Project basket identification
- ×Seasonal pre-positioning
- ×Long-tail inventory
- ✓Reduce lost sales by catching gaps early
- ✓Automated replenishment recommendations
- ✓Supplier-aware lead time modeling
Home KPI impact.
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.
Home stockout
by data source.
More Home insight cards.
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.
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.
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.
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.
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.
Home retailers: see what Stockout problems Ward catches.
Root causes, not just alerts. See it on your data.
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.