Neurolabs ZIA vs Trax Retail

Neurolabs ZIA has no write-up on Specifiction yet; its figures are above.

Trax Retail analyzes retail shelf images to help consumer packaged goods (CPG) brands and field teams assess in-store execution. Its computer vision, deep learning, and AI identify products and placement, then compare shelf conditions with planograms and KPIs. Reports cover on-shelf availability, share of shelf, pricing, promotional and store compliance, market share, staff performance, and SKU performance; dashboards can be configured around client KPIs. For representatives, Next Best Action prioritizes field actions according to performance against Perfect Store KPIs. A quality assurance team reviews image-recognition data. The app supports offline image capture during visits. Trax connects with Salesforce, synchronizing store, account, user, and route data and returning shelf KPI data. Customers can submit visits, scenes, and images for analysis through the Input API. Platforms are iOS, web, and API. Trax was founded in Singapore in 2010. It is paid, with pricing available on request.