实体零售的库存管理一直是个痛点，Radar 用混合感知方案把精度拉到 10cm，做零售科技或供应链优化的团队值得关注，这可能是线下门店数字化的关键一步。
Radar 公司正在为实体零售打造感知层，通过融合摄像头和 RFID 技术，将混乱的商店变成机器可读的环境。该系统能实时识别、定位和推理产品，精度达 10 厘米，解决店员找不到商品、库存错放等问题。Radar 被描述为“实体店的操作系统”，让 AI 在物体、人员、货架和传感器实时交互的场景中发挥作用。
AI leaving screens and becoming useful in places w…
AI leaving screens and becoming useful in places where objects, people, shelves, and sensors interact in real time.
Radar is building the perception layer for retail that can turn messy stores into machine-readable environments where AI can identify, locate, and reason about products in real time.
It is basically the “operating system for physical stores”.
A lot of times, physical stores do not know whether a shirt is in the backroom, under another pile, in the wrong aisle, or if it’s already stolen.
Radar fixes that by giving stores a live map of inventory, down to about 10cm, so a worker can find the exact item instead of guessing.
The smart part is the hybrid design.
Cameras can see shelves and movement, but crowded racks confuse them.
RFID tags can identify items, but they need spatial awareness to know what is actually happening around them.
Radar combines both, so the store gets the identity of each product plus the visual context around it.