This is a submission for the Redis AI Challenge: Real-Time AI Innovators.
What I Built
Introducing SmartStock, an AI-powered real-time inventory tracking platform. By leveraging Redis vector search and semantic caching, SmartStock analyzes SKU movements, optimizes restocking suggestions, and adapts to store demand patterns as they emerge.
Demo
*App Preview: smartstock-demo.vercel.app
*Watch: YouTube short tour of live dashboard
How I Used Redis 8
- Real-time SKU location updates with Redis Streams
- *Infers high- and low- demand items by streaming checkout events to vector-search-driven machine learning
- Semantic caching, so restocked recommendations update "in context" as store conditions change
- Real-time alerts for out-of-stock or anomalies
Pipeline driven, ML augmented, practical AI for stores! Redis keeps SmartStock lightning fast and highly adaptive.
Top comments (2)
Very intresting topic is discusses. Apart from it nowadays most of the India based blockchain development company were also doing such type of innovation in their areas.
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