Invisible Hand Technologies vs Reactev
Invisible Hand Technologies
invisiblehand.techReactev
reactev.comSide by side
| Figure | Invisible Hand Technologies | Reactev |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | — | Yes |
| Plans published | 0 | 1 |
| Spec score · Pricing Optimization Software | 7.2 (#12) | 7.1 (#14) |
| Spec score · Retail Pricing Software | 7.2 (#21) | 7.1 (#22) |
| Data inputs | The company says it collects store-by-store price, promotion, and availability data across retail fleets, up to daily, and combines it with internal, market, and third-party data. | The platform can use competition, sales, conversions, visits, climate, and seasonality data. |
| Price optimization | It models demand response by SKU, retailer, and market to identify price moves intended to create value for brands and retailers. | Reactev uses deep learning to calculate product prices and says it provides explanations for its estimates. |
Plans
In their own words
Invisible Hand Technologies
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.