Retail
Covers core retail scenarios such as smart recommendation, dynamic pricing, inventory forecasting, and store operations; integrates online and offline data to drive business growth.
Industry challenges
- User profile depends on rules, hard to personalize
- Dynamic pricing lacks data support
- Inventory forecasting is inaccurate, stock-out and overstock coexist
- Store operations depends on store manager experience
- Online and offline data is siloed
Agent-User solutions
Smart recommendation
Combines user behavior + product features + context, real-time personalized recommendation; supports A/B testing and effect tracking.
Dynamic pricing assistant
Competitor prices + inventory + user sensitivity + campaign strategy, smartly gives pricing suggestions and profit forecast.
Inventory forecast
Historical sales + seasonality + promotions + weather data trained, SKU-level inventory forecast accuracy 90%+.
Store operations assistant
Store manager can ask on the spot: today's sales, hot products, pending items, employee scheduling suggestions.
Agents involved
Case study note
Applicable to chain supermarkets, branded retail, and e-commerce platforms, covering apparel, beauty, fresh, 3C and other categories.
Want to deploy in this industry?
We provide industry solution design + POC validation + go-live accompaniment end-to-end service.