Pitcher, one of the pioneers when it comes to AI-native sales enablement software for enterprise commercial customers, now has a strategic alliance with EasyPicky, which is an expert at retail execution optimization and field data collection. Through this historic partnership, store floor image recognition will be automated in daily business processes.
Both digital platforms have earned deep industry adoption across the consumer packaged goods (CPG) manufacturing sector. Among their shared users is snack manufacturing giant Mondelēz International, the globally recognized producer of consumer staples such as Cadbury and Oreo.
Bridging Corporate Strategy and Store-Floor Execution
A widespread operational obstacle for contemporary CPG enterprises involves transforming “Perfect Store” parameters into real-time, corrective tasks for field agents looking to recover leaking store revenues. Pitcher and EasyPicky have developed a joint architecture designed for the harsh realities of remote field work. Both mobile-first tools provide complete offline capabilities, remaining functional in unpredictable connectivity environments.
The integration embeds naturally within standard retail routines without adding administrative friction. While executing a routine store visit, reps use EasyPicky to scan shelves via video. Pitcher subsequently surfaces this extracted data within the exact same software interface housing the user’s CRM files, digital marketing assets, and algorithmic operational guidance.
“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.”
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Converting Raw Shelf Data into Next Best Actions
Through a short video recorded on a basic mobile phone or tablet, field agents gain immediate visibility into volatile shelf conditions. The engine tracks missing inventory, out-of-stock items, general merchandising compliance, and display placements.
This captured intelligence flows into Pitcher’s core framework to drive automated Next Best Action (NBA) prompts, optimized route scheduling, and in-the-moment commercial suggestions. Commercial directors can substitute intuitive rep guesswork with structured, scalable, data-driven decisions that immediately elevate store visits, display renegotiations, and overall on-shelf product availability.
“We are thrilled to partner with EasyPicky as we strengthen our presence in the CPG sector,” said Brigid Ling, CMO of Pitcher. “Their AI-powered image recognition technology gives sales teams an instant, concrete view of shelf reality. Combined with Pitcher’s AI-native sales enablement platform, it allows us to connect strategy and execution like never before. Together, we are empowering CPG brands to win at the shelf.”
Eliminating Operational Complexity for Modern Retailers
For EasyPicky, the integration provides an elegant solution to an ongoing global retail issue: turning massive quantities of raw field data into measurable, hyper-fast operational adjustments. By consolidating data streams into a single source of truth, the partnership simplifies meeting preparations, subsequent client follow-ups, and tedious administrative reporting. This frees field teams to concentrate on local merchant relationships and strategic business growth.
“Retail manufacturers today need instant visibility into field operations, but above all, they need the ability to turn that data into concrete actions for their sales teams,” said Marine Bibal and Renaud Pacull, co-founders of EasyPicky. “By combining our technologies with Pitcher, we are creating a continuum between field observation, analysis, and commercial execution.”
