/ R.1
In-Store Computer Vision
People counting, queue management, shelf analytics, and product recognition — deployed on edge devices.
// Details
- People counting and occupancy tracking
- Queue length estimation and wait time prediction
- Shelf stock monitoring and planogram compliance
- Product recognition at checkout (scan-free)
// Output formats
RTSP streamJSON eventsREST API
/ R.2
Demand Forecasting
Time-series forecasting for inventory optimization, demand planning, and supply chain efficiency.
// Details
- SKU-level demand forecasting
- Seasonal and promotional impact modeling
- Multi-location inventory optimization
- Stockout and overstock prevention
// Output formats
CSVParquetSQLDashboard
/ R.3
Personalization & Recommendations
Product recommendations, customer segmentation, and personalized marketing campaigns using collaborative and content-based filtering.
// Details
- Real-time product recommendations
- Customer lifetime value (CLV) prediction
- Churn prediction and retention campaigns
- A/B testing infrastructure
// Output formats
JSON APIEvent streamBigQuery
/ R.4
Dynamic Pricing
Price optimization based on demand, competition, and inventory levels — updated in real-time.
// Details
- Competitive price tracking
- Demand-based price elasticity modeling
- Markdown optimization
- Real-time price updates
// Output formats
REST APIKafkaJSON