Shrinkage Detection for Fashion & Apparel
No dashboards. No queries. Shrinkage findings delivered every morning.
How Ward handles Shrinkage in Fashion & Apparel
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.
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 fashion retail.
The biggest hidden source of fashion shrinkage isn't theft — it's administrative error in transfer-heavy operations where every handoff between stores, e-commerce, and returns is a reconciliation risk. Ward tracks inventory movements across all channels and distinguishes transfer discrepancies from return fraud and genuine theft.
Return fraud pattern detection, premium retailer
Ward flags a cluster of stores where high-value item returns run well above estate average, most without original tags, with the same payment cards appearing across multiple locations. The pattern matches a wardrobing ring. LP adjusts the return policy for flagged categories and sees a significant drop in high-value returns within weeks.
What a Ward card looks like.
Store #37 showing 4.2% shrinkage vs 1.8% estate average. Pattern suggests receiving dock discrepancy, not shoplifting.
Fashion shrinkage:
the shift.
- ×Markdown timing
- ×Size curve misallocation
- ×Style velocity prediction
- ✓Cause-level shrinkage attribution
- ✓Store-vs-estate benchmarking
- ✓Receiving dock anomaly detection
Fashion KPI impact.
Ward requires at least 2 full selling cycles to baseline style velocity and markdown timing. Results vary between basics and trend-driven categories.
Questions about shrinkage.
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.
Fashion shrinkage
by data source.
More Fashion 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.
Fashion retailers: see what Shrinkage 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.