Bedrock Analytics

Bedrock Analytics operates a cloud-based data analytics and visualization SaaS platform for the consumer packaged goods (CPG) industry. The platform imports and harmonizes syndicated and retailer data — including feeds from Nielsen, Circana/IRI, SPINS and NPD, plus retailer POS, panel and e-commerce data from sources such as Whole Foods Market and Costco — and converts it into visualizations, topline reports, opportunity and threat views, promotion tracking, and exportable, branded sales presentations.

The product is positioned for multiple roles inside a CPG manufacturer: salespeople (competitive performance, retailer rankings, sales decks), analysts (attribute segmentation, competitive decomposition, category review creation), marketers (market share trends, new item tracking, trade calendar linked to trade promotion management, promotion analysis) and executives (automated executive summaries, competitive landscape analysis, long-term trended data). The visualization library includes quad week comparison, sales decomposition, period comparison, change vs year ago, side-by-side comparison, weekly trends, heatmaps, topline reports, opportunity gaps reporting, sales waterfall, share comparison and promotion evaluation. Collaboration features give users in-platform access to Bedrock category experts and a "Personal Analyst," along with notes and commenting. A separate module, Bedrock Insights, converts retail data into content formats such as sales decks and videos, using synthetic-media avatars and video walkthroughs to guide users through benchmark analyses.

Founding story

Co-founder and CEO Will Salcido came from 11 years of CPG leadership roles in analytics, category management and marketing at Nestle, Novartis, Ghirardelli and Lindt, where in 2011 he led implementation of a custom category management solution across 12 countries for the Lindt Group; he is a Cornell graduate in Applied Economics & Management. Co-founder and CTO Alan Coleman brought more than 20 years of engineering leadership experience as lead architect, VP engineering and CTO at companies including DemandTec, Adchemy and VigLink, building big-data analytics with modeling and natural language processing. The founders identified that while all CPG manufacturers have access to the same retail data, the industry had under-invested in retail analytics and lacked in-house expertise, leaving small and mid-sized manufacturers at a disadvantage — the gap Bedrock set out to systematize.

Business model

Bedrock sells subscription access to its SaaS analytics platform to CPG manufacturers, marketed to companies of all sizes including small and mid-sized manufacturers that typically lack in-house retail analytics expertise. Customers supply or connect their syndicated and retailer data, and Bedrock layers harmonization, analytics, AI-generated narratives and presentation output on top, supplemented by category-expert and analyst support delivered inside the product.

Revenue derives from access to the Bedrock analytics platform and its modules for CPG manufacturers; specific pricing and contract terms are not disclosed publicly.

Traction

The company reports brands using the platform across more than 350 categories and publishes customer testimonials from Elanco (Sr. Director, Category Leadership) and Prosperity Organics (Director of Sales), along with a case study on harmonizing fragmented data sources for a CPG manufacturer. It states customers use the platform to expand into new markets, outperform competitors and generate incremental sales. Blog activity was ongoing with posts dated mid-2026.

Latest developments

Recent product messaging centers on a multi-model AI stack (ChatGPT-5, Claude, Llama) for automated insight generation and storytelling, GPU-accelerated cloud pipelines, and an in-development generation of AI agents that automate buyer-deck insight generation, recommend the best route to a selling story and incorporate context beyond the customer's dataset. The company continues to publish CPG analytics content, with blog posts in July and August 2026 on build-vs-buy decisions for CPG sales analytics, sales decomposition using syndicated data, and multi-retailer data fragmentation.