CT Vision

What is it

CT Vision is a retail-audit tool built on AI image recognition, from the US. Usage is intuitive: store or field staff take a shelf photo, and the system recognizes the products on the shelf and automatically computes planogram compliance, the brand's share-of-shelf, and whether products are actually on shelf (on-shelf availability).

What problem it solves

Brands and retailers both need to know "what my products actually look like in the channel," but counting by hand item by item is slow and error-prone. CT Vision turns a shelf photo into structured audit data, quantifying whether the display follows the plan, whether share is being squeezed by competitors, and whether there are stockouts, saving a lot of manual counting time and making audit standards more consistent. It suits FMCG-brand channel sales, retail-audit teams, and operations managers needing to monitor in-store execution. Actual recognition accuracy is affected by shooting quality and product-database completeness, and it's usually used alongside existing store-visit and sales flows.