Industry: Household

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Case Study
Image Recognition (IR) has rightly earned its place in the CPG industries toolkit. It’s fast, scalable, and delivers shelf data in near real-time. But here’s the uncomfortable ...
Image Recognition (IR) has transformed how CPG brands capture in-store insights—but even the smartest tech is only as good as the data behind it. In this blog, Fraser Neil, VP of Sales CPG at Trax, explains why poor data quality still quietly sabotages performance, erodes trust with field teams, and prevents AI from delivering on its promise. Clean, consistent reference data isn’t a bonus—it’s the fuel that powers your entire IR engine.
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Case Study
Retail Data, Recalibrated: Getting Closer to the Truth on Shelf  At Analytics Unite, we explored a critical issue facing brands, companies, and retailers today: the disconnect bet...
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Case Study
With Trax insights, Henkel optimized share-of-shelf and enabled sales reps to spend more time on revenue generation.