Retail AI benchmark for choosing the economically right LLM by workflow
零售数字化AI化高级专家 — 全业态全链路全技术栈的零售数字化转型超级工作台。覆盖全业态(便利店→万店品牌)、全业务链路(供应链→门店→电商→会员)、全技术栈(POS/ERP/WMS/OMS/CRM/CDP/BI/AI/IoT)。内置R-DMM五维模型、ROI计算器、60场景对标框架、12家全球顶级零售企业深度拆解。
Retail Digital & AI Transformation Expert (International Edition) — Full-stack digital & AI transformation super-workbench for the global retail industry.
Zero-shot SKU onboarding for edge retail AI — single product photo → trained detector in <10 min via LLaVA extraction, BlenderProc2 domain randomization, YOLOv8n + EWC continual learning, and async FastAPI.
Semantic grocery search engine using ChromaDB + SentenceTransformers — find products by meaning not just keywords using cosine similarity HNSW indexing
An agentic AI retail assistant that combines natural language search, visual product discovery, tool calling, conversational memory, and structured product retrieval to deliver intelligent shopping recommendations.
A synthetic-data retail AI agent prototype for product discovery, order support, and assistant workflow evaluation.
Computer vision model to estimate customer age from photos. Uses fine-tuned ResNet50, achieves MAE 6.37 (<8 target). Enables personalized offers and age verification for alcohol sales.
Why the biggest AI opportunity in retail isn't at headquarters — it's on the store floor. GRADE Framework: 10 failure patterns, evaluation sequences, and scoring rubrics for Store-Level AI agents.
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