Quicker planogram compliance checks with Image recognition in VisitBasis retail audit mobile app

Retail planogram compliance is essential in ensuring brand consistency across multiple retail channels. However, achieving full compliance is always an issue due not only to outlet and local limitations, but also because of the difficulty in checking multiple locations in spread-out geographies.

VisitBasis is the go-to retail audit mobile app for CPG manufacturers and distributors when it comes to planning and scheduling retail planogram compliance checks. It allows field reps to use their own mobile devices to fill in audit forms and checklists. 

Now VisitBasis has developed BrandML, its own image recognition technology implemented in the retail audit mobile app. Retail planogram compliance checks via BrandML extract data from pictures through an artificial intelligence neural network and automatically generate KPI reports.

It might seem that BrandML technology is out-of-reach for most smaller and medium-sized manufacturers and distributors, but it actually is cost-effective and also easy to implement. Management just needs to supply sample shelf pictures to the VisitBasis team so they can “train” the neural network within the retail audit mobile app to recognize the company’s products.

After it has been configured, performing retail planogram compliance checks via BrandML becomes incredibly easy: Reps just need to take pictures of supermarket shelves and the system will deliver metrics such as share of shelf, out-of-stocks, competitor information, and more.

Since the data is now in the Cloud, brand and merchandising managers at centralized offices can also generate their own reports containing their specific parameters and metrics, and supply their businesses the up-to-date information necessary for calculated strategic decision-making.

Is your business ready for retail planogram compliance checks via BrandML right on a mobile device with pre-installed VisitBasis retail audit mobile app

Free for teams up to 10 users