VideoMining (VM) makes this possible by providing advanced solutions that leverage AI and Big data to decode in-store shopper behavior. This enables retailers to measure, track, test, and optimize their shopper-centric investments.
Tracker
Provides retailers with standardized shopper behavior data and insights, benchmarked against the industry, broken down into storewide, category, and brand-level behavior insights and trends to drive and assess the impact of shopper-centric investments.
ExploreOptimizer
Uses AI-powered optimization algorithms leveraging in-store behavioral data along with other retailer data to optimize critical retailer applications, including Category Reset and Display Location Planning.
ExploreInnovator
Offers an always-available test lab facility, with a comprehensive methodology to deliver rapid test results. Enables measurement and tracking of in-store shopper responses - extracting actionable insights that can impact the innovation process and reduce rollout risk.
ExploreVM’s optimization platform generated the data and insights via an in-depth pre and post-category reset study conducted at a major grocery retailer.