Home · Shrinkage

Ward monitors Shrinkage so your Home team doesn't have to.

No dashboards. No queries. Shrinkage findings delivered every morning.

Ward's Shrinkage engine for Home retail

Ward identifies abnormal inventory loss patterns and distinguishes between theft, damage, spoilage, and administrative error.

Ward compares expected inventory against actual counts, segments loss by cause category, and flags store-level anomalies against your estate baseline.

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Shrinkage for Home — live product demo.

What changes for your team

  • Cause-level shrinkage attribution
  • Store-vs-estate benchmarking
  • Receiving dock anomaly detection
  • Pattern recognition across time

Why shrinkage matters
in home retail.

Small hardware has the highest per-unit theft rates but lowest dollar impact; power tools have lower frequency but massive loss per incident. Ward segments shrinkage by value tier and department so loss prevention allocates resources where the dollar impact is highest, not just where the unit count is.

Power tool theft ring detection

Ward flags elevated power tool shrinkage at a geographic cluster of stores, concentrated during weekday afternoons — a pattern consistent with organized retail crime. Ward recommends immediate spider-wrap enforcement and receipt-checking at affected locations. LP investigation confirms a theft ring, and targeted intervention brings shrinkage back toward estate averages within weeks.

What a Ward card looks like.

Ward · Shrinkage for Home06:47 AM

Store #37 showing 4.2% shrinkage vs 1.8% estate average. Pattern suggests receiving dock discrepancy, not shoplifting.

✓ Action recommendedHome context applied

Home shrinkage:
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.
  • Cause-level shrinkage attribution
  • Store-vs-estate benchmarking
  • Receiving dock anomaly detection

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 shrinkage.

Based on store count and data volume. POC engagements at a fixed fee.

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

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

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

Home retailers: see what Shrinkage 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
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