platoseed
AI insights for consumer products
Scout is an AI insights tool for consumer products companies to increase topline revenue. It ingests data from retailer portals and syndicated sources (such as SPINS, NielsenIQ), and tell sales teams exactly where they can grow. Brands use Scout to figure out which accounts to expand, which SKUs to prioritize, and which promotions drove incremental sales.
Scout provides an AI-powered analytics and reporting platform tailored for CPG and retail, combining consulting with a software platform to transform fragmented data into actionable insights. It targets retailers and consumer brands to optimize promotions, inventory, demand forecasting, and digital performance through dashboards and AI-driven analysis.
Scout connects data from syndicated sources, retailer portals, and internal systems to harmonize formats. It offers AI-driven dashboards, pre-built templates for CPG scenarios, and the ability to create custom views via natural language queries. The platform auto-generates plots and tables, maintains automated reports, and enables collaboration through shared dashboards, alerts, and data provenance showing sources and calculations. Users can monitor performance by retailer, SKU, and region, run promotions analysis, conduct white space analyses, demand forecasting, inventory/trade spend optimization, and competitive/digital performance tracking.
Who itβs for: CPG brands and retailers looking to derive actionable insights from fragmented sales, promotions, and retailer data.
Mentions of booking consultations, ongoing product development, and a pricing page; company describes consulting and analytics platform with onboarding steps and examples, indicating traction and active offering.
Sasha is the co-founder and CEO of Scout. Previously, Sasha helped incubate new SaaS startups at Menlo Labs and built supply chain data products at Wayfair. She studied at Carnegie Mellon and Wharton.
Formerly βInterceptβ Β· why startups rename β

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