Their team created an R-CNN model – a two stage detection algorithm. Implementation and SolutionĬlerk wanted to be able to automate the labeling process but lacked the proper resources. Clerk wanted to find a way to be more efficient and label these planograms much faster. However, Clerk’s team was spending too much time and resources on manually detecting and classifying hundreds of thousands of images. Typically, planograms highlight product placement, displays, and point of sale locations. A planogram is a schematic tool that retailers use to plan their store layout to maximize sales and customer experience. The Clerk team had already built a planogram verification solution that informed clients about how the paid magazine slots were managed at grocery checkout display racks. Client NeedsĬlerk came to KUNGFU.AI with some unique challenges. Clerk’s digital display network, Grocery TV, uses AI-enabled camera technology to verify ad impressions and keep track of products in supermarkets. This includes: out-of-stock tracking, planogram management, category analysis and planning, or in-store marketing. What’s Clerk? Clerk empowers retailers and brands with resources to improve the in-store performance and meet the customers’ needs.
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