To build an AI-powered retail intelligence platform that delivers real-time shopper analytics, automated inventory visibility, and proactive queue management through on-device AI,enabling retailers to reduce stock-outs, improve customer experience, optimize staffing, and increase operational efficiency while maintaining privacy and minimizing cloud dependency.
Source
- Smart India Hackathon 2026 (opens in a new tab)SIH 2026Collection launched: 21 Aug 2026
Source summary
Build privacy-aware retail analytics using cameras and local edge AI that continues during internet outages. Scope spans anonymous footfall/dwell heatmaps, shelf-stock/planogram checks and queue monitoring/prediction with staff alerts. Avoid storing personally identifiable information; provide operational dashboards and possible POS/inventory/ERP integration and multi-store monitoring. The source permits some or all listed functions and covers small stores through chains, including constrained Tier-2/3 connectivity.