Ward monitors Shrinkage so your Furniture team doesn't have to.
Furniture data into Shrinkage insight cards. What changed. Why. What to do.
The Shrinkage capability built for Furniture Manufacturing & 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.
What changes for your team
- Cause-level shrinkage attribution
- Store-vs-estate benchmarking
- Receiving dock anomaly detection
- Pattern recognition across time
What a Ward card looks like.
Store #37 showing 4.2% shrinkage vs 1.8% estate average. Pattern suggests receiving dock discrepancy, not shoplifting.
Furniture shrinkage:
the shift.
- ×Disconnected ERP, warehouse, and POS systems
- ×Custom/configurable SKUs that break standard reporting
- ×8–16 week lead times with no demand signal
- ✓Cause-level shrinkage attribution
- ✓Store-vs-estate benchmarking
- ✓Receiving dock anomaly detection
Questions about shrinkage.
Yes. Ward scales from 5 stores to 5,000.
SAP, Oracle Retail, Shopify, BigQuery, Snowflake, flat files, and any system with a REST API.
TLS 1.3, AES-256 at rest. SOC 2 Type II in progress. On-prem available.
Furniture shrinkage
by data source.
More Furniture 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.
Furniture 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.