Retail’s AI Problem Is Not Intelligence. It Is Execution.
Retailers have spent years improving systems and, more recently, improving models.
The systems, compute and deployment choices turning artificial intelligence into retail infrastructure.
Retailers have spent years improving systems and, more recently, improving models.
Three stories shaping this desk
The retailer has applied a two-stage CCTV system at its Myeongdong flagship and an Incheon Airport logistics center, using vision AI then a vision-language model before alerting staff.
A 20-store test with SoftBank and Japan Weather Association tied weather, footfall and store data to production, markdowns and staff explanations versus similar control stores.
An in-house tool maps more than 4,000 brands for scouting, adjacency and entry-exit work, with a chatbot planned later this year.
The Korean firm’s Agent F is framed as an execution layer over ERP, sales and logistics data, automating merchandising work from initial store allocation to transfers and markdown timing.
Artificial intelligence is beginning to reshape online shopping around information that machines can interpret.
Software is evolving faster than the physical infrastructure expected to support it.
Zeta Smart Center Busan uses a goods-to-person grid, robotic picking for standard SKUs and staff for fragile items, with Ocado technology in deep freeze.
Simbe’s autonomous shelf scanner is now operating beyond a single Tesco supermarket, still as a limited trial rather than a national rollout.
Beckesepp’s Waltershofen market pairs daytime staffing with after-hours access, AI produce ID and a cashierless bakery—without claiming a fully independent store.