Global retail loses $1.7 trillion annually to inventory errors, while 74% of retail AI projects never leave the pilot stage; the article explains three core pain points in stores and shows how Biying Tech’s AI‑driven "digital employees" dramatically improve staffing, decision‑making, and supply‑chain efficiency.
At the 2021 National Retail CIO Conference in Shanghai, Suning’s Director Wang Junjie detailed the company’s AI, big‑data and cloud‑based three‑step digital transformation strategy, its suite of five mature digital products, and its call for partners to extend these solutions across industries.
This lecture outlines the key challenges of deep learning in retail—growing model size, speed, and energy consumption—and presents a comprehensive acceleration framework covering algorithmic optimizations like network design, pruning, and hardware acceleration, with practical examples such as MobileNet, model compression, and edge deployment.
This lecture details the evolution of product recognition algorithms from traditional image classification to deep‑learning‑based object detection, discusses challenges in dense retail scenes, presents solutions like rotated bounding boxes and multi‑source sensor fusion, and explains practical deployment in digital and unmanned stores.
This article explains how AI‑driven precise customer‑flow algorithms—covering pedestrian detection, full‑scene tracking, and person re‑identification—enable accurate offline traffic analysis, real‑time shopper profiling, and data‑driven store management for modern retail environments.
