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Retail is drowning in data and still missing the moment to act. Scott Benedict sits down with Lee Kallman, Chief Commercial Officer at RD Solutions, to unpack what changed in retail analytics over the last decade and why “access to everything” can create more confusion than clarity if teams cannot operationalize it.

We get specific about where value actually shows up: competitive intelligence that improves pricing and assortment, better item matching and data governance that makes comparisons trustworthy, and a stronger understanding of who the shopper’s real competitors are when baskets get split across multiple retailers. Lee also shares how brands can walk into buyer meetings with marketplace intelligence that goes beyond “here’s my product,” using category context, promotions, and even ratings and reviews to build a sharper collaboration.

Private label and omnichannel retail add new pressure. We dig into the data behind store brand trial, why small price gaps can drive switching, and how quality perception changes the playbook for national brands and challenger brands alike. Then we tackle omnichannel integration, loyalty identity, and the messy realities of third-party platforms like Instacart and other marketplaces where pricing, promotions, and MAP policies can drift away from a retailer’s intent.

Finally, we look ahead at AI in retail, real-time decisioning, and what has to change operationally to keep up, from legacy systems to electronic shelf tags and faster store execution. If you care about retail data analytics, omnichannel strategy, pricing strategy, and turning insight into action, this one will sharpen your thinking. Subscribe, share with a teammate, and leave a review, then tell us: what is the hardest part of making data actionable in your organization?