Retail execution apps have revolutionized the way store audits were performed with the virtual elimination of paper forms and transcription that came with the advent of data collection apps for smartphones and tablets.
Now a second revolution is coming: The one of artificial intelligence applied to store audits. Image recognition for retail execution apps allows for information to be extracted directly from photos taken by field personnel at the stores.
This means that, instead of filling in information on the number of product and competitor faces, for instance, reps will just take a picture of the target product category. Pictures will be then sent to Cloud servers where a neural network inside the retail execution app will analyze them and provide instant information on share-of-shelf and other retail KPIs.
One can see how a retail execution app with product image recognition software saves not only time but also reduces human error when, for instance, counting product and category faces at the store, especially considering the accuracy of over 95% that some systems provide.
BrandML is the image recognition technology developed by VisitBasis, provider of the namesake retail execution app chosen by many CPG, distribution, and marketing businesses. While groundbreaking, BrandML can be implemented in a short period of time and is cost-effective, making it a realistic technology upgrade for retail-focused businesses of all sizes.
BrandML is the image recognition technology developed by VisitBasis, provider of the namesake retail execution app chosen by many CPG, distribution, and marketing businesses. While groundbreaking, BrandML can be implemented in a short period of time and is cost-effective, making it a realistic technology upgrade for retail-focused businesses of all sizes.
