The integration connects AI-powered image recognition from the store floor directly into Pitcher's commercial workflows, giving field teams the visibility and direction needed to win at retail. DENVER, May 26, 2026 /PRNewswire/ -- Pitcher, the AI-native sales enablement platform for enterprise commercial teams, today announced a strategic partnership with EasyPicky, a specialist in retail execution optimization and field data collection for consumer goods companies. The partnership brings together two platforms already trusted by leading CPG manufacturers, including Mondelēz International, one of the world's largest snack companies and the makers of globally recognized brands like Oreo and Cadbury. "The strategic alignment of Pitcher and EasyPicky represents a powerful convergence of two critical capabilities: meaningful sales representative engagement with store managers and the precise execution and validation of in-store display standards for merchandising teams," said Rensilin Pathrose, Senior Director of Digital Experience, Digital Business Transformation & Digital Commerce at Mondelēz International. "Together, this integration bridges the gap between sales and shelf-level compliance, delivering end-to-end visibility across the retail execution lifecycle." EasyPicky gives field teams instant visibility into shelf conditions, from product availability to out-of-stocks, merchandising compliance, and display placement — all captured via a short smartphone video, even offline. That intelligence now flows directly into Pitcher, where it becomes the foundation for Next Best Action (NBA) recommendations, prioritized visit planning, and real-time commercial guidance. This empowers commercial leadership to replace field rep guesswork with data-driven decision-making at scale, impacting store visits, display negotiation, and on-shelf outcomes. Connecting Strategy to Field Performance The new partnership solves a common challenge across CPG companies: turning Perfect Store data into real-time action that reps can take to capitalize on in-store opportunities and capture lost revenue. Both platforms are designed for field realities: offline-capable, mobile-first, and built to work in environments where connectivity is unpredictable and every