1 State of Brick-and-Mortar Despite e-commerce gains, 70 % of retail revenue still originates in physical stores. But conversion rates stagnate at 25 % of potential due to blind spots in shopper intent. 2 VSI's In-Store Analytics Fabric (ISAF) Edge cameras, Wi-Fi probes, smart shelves, and POS data stream into Kafka, feeding a Snowflake lakehouse and AI decision engine. 3 Key Use-Cases * Traffic Heat-Maps & Journey Visualization (optimize planograms). * Dynamic Workforce Scheduling (align staff to live demand). * Smart Promotion Triggers (contextual offers via mobile & ESL). * Real-Time Stock Alerts (Io
T shelf weight & RFID). 4 Hyper-Personalization Loop Customer 360 IDs link loyalty, online behavior, and in-store signals; Gen
AI crafts micro-experiences, lifting basket size by 18 %. 5 Operational
Impact Stock-outs -29 %, markdown waste -24 %, | dwell-time +17 %. 6 Architecture * Edge TPU inference under 200 ms. * Feature store for scalable ML. * Zero-trust NAC and tokenized PII ensure GDPR/CCPA compliance. 7 Case Story A global grocer piloting ISAF saw $32 M incremental revenue within six months across 120 pilot stores. 8 Sustainability Tie-In Energy analytics cut lighting/HVAC k
Wh 12 %; CO2 dashboards feed ESG reports. 9 Road-Map Pilot
- Regional rollout
- API-exposed retail media monetization. 10
Conclusion Data is the new planogram. VSI converts every aisle into an insight, every insight into profit.
