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The Future of Retail Execution. From In-Store Robots to Image Recognition and Dynamic Planning. Three major trends shaping the future of Retail Exectuion. Trend. Tech enablers. Increasing channel/store coverage (data collection)
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The Future of Retail Execution From In-Store Robots to Image Recognition and Dynamic Planning
Three major trends shaping the future of RetailExectuion Trend Tech enablers • Increasing channel/store coverage (data collection) • Image Recognition becoming the standard for shelf measurement • Shift from static to dynamic field planning 1 Crowdsourcing /IoT/ Robotics Artificial Intelligence / Computer Vision & Machine learning Artificial Intelligence / Analytics 2 3
1 Channel/Store coverageisincreasing as new data collection sources are emerging Smart coolers Crowdsourcers Smart Shelves Field Forces Store Robots Smart Glasses Store Drones
1 On-demand crowdsourcing isredefiningfieldresources model
2 Image Recognition (AI-powered) is becoming the standard for in-store measurements Accuracy : 97%+ Turnaround time: < 5min
2 Demystifying AI: 1st Wave - Handcrafted Knowledge Source: DARPA 1st Wave Experts tookknowledge about a particulardomain, translateditintorulesthey can fit in the computer, whichwouldstudy the implications of thoserules. Perceiving Learning Abstracting Reasoning Source: DARPA
2 Demystifying AI: 2nd Wave - Statistical (Machine) Learning, enabling product recognition in Retail Source: DARPA 2nd Wave Engineerscreatestatisticalmodels for specificproblemdomains, and train them on big data. Perceiving Learning Abstracting Reasoning Source: DARPA
2 Demystifying AI: challenges with the 2nd Wave Source: DARPA Statistically impressive but individually unreliable Skewed learning data creates maladaptation Source: DARPA
2 Demystifying AI – 3rd Wave (future) Contextual Adaptation Source: DARPA 3rd Wave Systems will over time build a contextual model to characterize real-world phenomena Perceiving Learning Abstracting Reasoning Source: DARPA
3rd wave of AI will further increase capabilities of interpreting the shelf • Shelf smarter • Faster learning • Increased reliability • Faster adaptation to changes • Easier maintenance
3 Shift from static to dynamic planning of field resources, powered by AI & Analytics Staff/customer data Dynamic (opportunity-based) real-time planning e-Pos data / Sell-out data Inventory data Shelf data
3 Real-time RetailExecution « GPS » for fieldreps
The Future of Retail Execution is at hand… Stuart Jones Global Director, RetailExecution Mondelez International