Pitcher Joins Forces with EasyPicky to Streamline Operations
References: prnewswire
Pitcher, an artificial intelligence-native sales enablement platform for enterprise commercial teams, has formed a strategic partnership with EasyPicky, a software company specializing in retail execution optimization and field data collection for consumer packaged goods manufacturers. This integration allows shelf data captured via EasyPicky's smartphone video technology to flow directly into Pitcher's workflow system.
The combined offering gives field representatives the ability to record a short video of store shelves even without an internet connection, after which EasyPicky's image recognition analyzes product availability, out-of-stocks, merchandising compliance, and display placement, and then Pitcher translates that analysis into specific next-best-action recommendations and prioritized visit planning.
Rensilin Pathrose, Senior Director of Digital Experience, Digital Business Transformation & Digital Commerce at Mondelēz International, shares: "Together, this integration bridges the gap between sales and shelf-level compliance, delivering end-to-end visibility across the retail execution lifecycle."
Image Credit: PITCHER
The combined offering gives field representatives the ability to record a short video of store shelves even without an internet connection, after which EasyPicky's image recognition analyzes product availability, out-of-stocks, merchandising compliance, and display placement, and then Pitcher translates that analysis into specific next-best-action recommendations and prioritized visit planning.
Rensilin Pathrose, Senior Director of Digital Experience, Digital Business Transformation & Digital Commerce at Mondelēz International, shares: "Together, this integration bridges the gap between sales and shelf-level compliance, delivering end-to-end visibility across the retail execution lifecycle."
Image Credit: PITCHER
Trend Themes
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AI-driven Shelf Analytics — A foundation for predictive assortment and dynamic merchandising systems that can redefine in-store decisioning and reduce stockouts.
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Offline-first Field Data Capture — An approach where smartphone video capture and edge processing create continuous, reliable shelf intelligence in connectivity-challenged environments.
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Workflow-integrated Next-best-action — A model that fuses image-recognition insights with prioritized visit planning, enabling contextualized recommendations surfaced directly within sales workflows.
Industry Implications
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Consumer Packaged Goods — A shift toward real-time, shelf-level visibility that supports automated compliance monitoring and demand sensing for faster inventory optimization.
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Retail Technology — An opportunity to build integrated platforms combining computer vision, offline capture, and workflow automation to modernize store operations.
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Field Sales Enablement — A transformation in which mobile-first analytics and guided actions increase field rep productivity through intelligent visit prioritization.
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