Invisible Hand Technologies vs Omnia Retail

Invisible Hand Technologies is a web platform for consumer brands and CPG manufacturers that turns store-level retail data into pricing and promotion recommendations. It models demand by SKU, retailer, and local market, then simulates outcomes before recommending price changes. Promotion analysis separates incremental sales from subsidized volume to identify value-creating or margin-destroying activity. Root-cause analysis traces changes in sales, margin, or share to price, promotion, distribution, availability, or competition, down to individual stores. The platform monitors competitor pricing and promotion trends and shows out-of-stock conditions across retailers carrying a customer’s products. Its machine-learning engine combines store-by-store price, promotion, and availability data collected up to daily with internal, market, and third-party data. Recommendations appear in dashboards, alerts, and inspectable plain-language answers from an AI assistant. Users can question what is happening, why, and what to do next, and challenge the reasoning.

Omnia Retail has no write-up on Specifiction yet; its figures are above.