Retail & Omnichannel
AI is reshaping modern retail — from shopping guidance and customer service to repurchase operations, every touchpoint is becoming a calculable business node.
Core Value
Building an intelligent operations system for "Data → Scenarios → Processes"
- Automated customer service, shopping guidance, and after-sales
- Multi-channel user experience enhancement
Deliverables
01AI Intelligent Customer Service
What We Deliver
- Omnichannel AI customer service system (WeChat / Mini Program / APP / Web)
- Industry knowledge base, product database, automated after-sales processes
- Automatic intent recognition, tool invocation, and ticket management
- Continuous self-learning mechanism, improving with use
Expected Results
- Response time reduced by 80%
- Labor costs reduced by 40–60%
- Conversion rate increased by 20–35%
- Consistent and stable service standards across multiple stores
02AI Private Domain Operations Agent
What We Deliver
- Automated member segmentation (lifecycle, consumption characteristics, price sensitivity, etc.)
- Automatic content distribution (images/videos/copy)
- Group chat assistant, private domain operation robot
- Full-chain data accumulation and strategy optimization
Expected Results
- Activity rate increased by 40%
- Repurchase rate increased by 20–50%
- Operational labor costs reduced by 50–70%
- Content generation efficiency improved by 10x
03Smart Product Selection & Sales Forecasting
What We Deliver
- Sales forecasting model (7/30/90 days)
- New product trial prediction, hit product identification
- Store SKU structure and regional differentiation analysis
- Operational strategy recommendations (restocking/pricing/promotions)
Expected Results
- Prediction accuracy 75–88%
- Inventory turnover rate increased by 20–35%
- New product failure rate decreased by 30%
- Significant improvement in per-store labor and space efficiency
04AI Quality Inspection System
What We Deliver
- Text quality inspection (customer service conversations, service risks, non-compliant language)
- Image quality inspection (displays, shelves, brand exposure, store inspections)
- Review quality inspection (sentiment, pain point clustering, core issue extraction)
Expected Results
- Quality inspection efficiency improved by 10–20x
- Quality inspection costs reduced by 70–90%
- Improved consistency in store display standards
- Campaign/new product feedback cycle shortened from weeks to days
05AI Data Analysis Dashboard
What We Deliver
- Unified data dashboard connecting ERP / POS / member systems
- AI automatically generates daily reports, weekly reports, and business diagnostics
- Automatically discovers anomalies, identifies opportunities, and provides strategic recommendations
Expected Results
- Business insight efficiency improved by 80%
- Decision speed changed from weekly to hourly
Typical Scenarios
- High customer service costs and difficult training
- Private domain operations rely on manual work
- Lack of unified data linkage
Data Value
- Response time reduced by 85%
- Private domain GMV increased by 30-100%
- Operational efficiency improved by 3-5x