Scout

Scout is an AI-based analytics and workflow platform for consumer packaged goods brands and retailers. It ingests fragmented sales data — syndicated provider feeds, retailer portals, distributor reports, store point-of-sale and back-office systems, and customer spreadsheets — harmonizes the formats, and makes the combined data queryable in plain English or through pre-built CPG dashboard templates. Outputs include automated weekly and monthly reports, custom dashboards, plots and tables, with traceability from each metric back to the underlying source rows and calculations.

Beyond reporting, the platform positions itself around operational actions: SKU-, retailer-, region- and store-level performance analysis; promotion analysis that separates incremental lift from baseline and models deduction costs into trade spend; demand forecasting at retailer DC and store level converted into reorder quantities and purchase-order plans; white-space and distribution-gap scoring; competitive benchmarking on price, velocity, distribution and promo activity; and digital/omnichannel performance measurement. The company describes six packaged workflows spanning inventory management, trade promotion effectiveness, demand forecasting and order planning, white space analysis, competitive analysis and digital performance. Proactive alerts flag sales and inventory issues, and dashboards can be shared with contributors and viewers by email. Onboarding follows a three-step model: connect data sources, let the system harmonize and forecast, then act on replenishment, ordering and promotion decisions.

Business model

Scout is sold as an engagement rather than a per-seat license, with plans quoted against the customer's revenue level. Published tiers include an "Emerging" plan for brands under $5M in revenue and a "Growth" tier, described as the most common, for companies with $5M to $50M in revenue. The Emerging tier covers connections to POS, syndicated and retailer-portal data, unified sales reporting, an AI analyst answering plain-English questions, and traceability of every number to its source rows. The company also offers consulting alongside its AI workflow and analytics products.

Traction

The company publishes anonymized customer outcomes: a regional grocery retailer with more than 40 stores reported revenue up more than 2% after stocking products identified as selling well in some locations but not carried in others; a specialty coffee roaster's category review preparation was reduced from days to hours; a household goods brand received hundreds of ranked store-level placement opportunities; and a beverage brand shifted trade spend toward promotions shown to generate incremental lift. Named testimonial attribution includes a Director of Sales at Heirloom Coffee Roasters, with additional unnamed quotes from a category manager at a natural foods brand and a VP of Sales at a snack brand.