Retail
Retail is SVARA's industry vertical for store operations and merchandising — where the Intelligence Loop optimizes inventory turnover, shrinkage reduction, and store operations through real-time shelf, traffic, and transaction intelligence.
Architecture
SVARA deploys across the retail estate: Observe connects to store cameras, shelf sensors, and POS feeds, Understand interprets shelf availability and shopper behavior, Predict forecasts demand and shrinkage, Coordinate triggers replenishment and loss-prevention actions, and Improve continuously tunes pricing, planograms, and operations.
Shelf Observe
Cameras and weight sensors at the shelf for real-time out-of-stock, low-stock, and planogram compliance detection.
Store Ops Understand
AI models that fuse footfall, basket data, and shelf state to identify restock priorities and shrinkage events.
Demand Predict
Forecasting of SKU-level demand and shrinkage risk by store, daypart, and promotion.
Replenishment Coordinate
Automated restock dispatch, planogram corrections, and loss-prevention alerting routed to floor staff.
Data Flow: Shelf, shopper, and POS data flows into the Intelligence Loop. Availability insights trigger replenishment, demand forecasts inform ordering, and outcomes refine the models.
Use Cases
On-Shelf Availability
Real-time shelf monitoring that detects out-of-stocks within minutes and triggers restock before a sale is lost, lifting availability above 98%.
Shrinkage and Loss Prevention
Behavior- and shelf-state fusion that flags shrinkage events — including sweep, sweet-spot removal, and ticket switching — while cutting false alerts.
Store Labor Optimization
Task orchestration that aligns restock, recovery, and service work to live footfall and shelf priority, reducing idle time and stockout windows.
Deployment
Retail deployment begins with a pilot store, then scales across the estate. Edge gateways per store handle shelf-camera inference locally and aggregate counts to a central intelligence layer.
- 01Select pilot store for initial deployment
- 02Deploy edge gateways and connect shelf cameras and sensors
- 03Configure on-shelf availability and shrinkage detection models
- 04Integrate with the POS, inventory, and workforce management systems
- 05Validate against baseline availability and shrink KPIs
- 06Scale across remaining stores and the broader estate
Industries
Frequently Asked Questions
Does SVARA store or stream shopper video?
Edge-first by design. SVARA extracts shelf and footfall counts in-store and forwards only events and aggregates centrally — no continuous raw video storage of shoppers.
How does SVARA integrate with our existing POS and inventory systems?
SVARA connects to major POS, inventory, and workforce-management platforms via pre-built connectors and APIs, adding AI-powered intelligence without replacing existing systems.
What ROI do retailers typically see?
Retailers typically see 1-3% comparable sales lift from availability gains, 20-40% reduction in shrinkage, and 15-25% improvement in labor-task efficiency within the first year.
Comparisons
Traditional Retail Loss Prevention
Reactive camera review after an incident is reported.
SVARA detects shrinkage events live, fusing shelf state and behavior so staff act before the loss is realized.
Return on Investment
Retail deployments typically deliver 1-3% comparable sales lift, 20-40% shrinkage reduction, and 15-25% labor-task efficiency gain within the first year.
Resources
- AI-Powered On-Shelf Availability and Store Operationsresearch
- Computer Vision for Retail Loss Preventionresearch
- GS1 Retail and eCommerce Standardsstandard