Eversight

What it does

Eversight is an AI-native pricing and trade promotion optimization platform that uses adaptive experimentation to continuously test and optimize prices and promotions at the product-retailer-market level. Rather than relying on historical data analytics alone, Eversight runs live pricing experiments in real retail environments - testing different price points, promotional mechanics, and offer structures simultaneously to discover the optimal combination for each product in each market. AI capabilities include adaptive experiment design that allocates test and control conditions optimally across markets, ML price elasticity modeling that learns how demand responds to price changes across different products and geographies, promotion effectiveness analytics that quantify incremental lift versus baseline for every trade promotion, and AI pricing recommendations that combine elasticity models with experiment data.

Strengths

• Large CPG companies and grocery retailers use Eversight for AI-powered pricing and promotion optimization - adaptive experimentation continuously discovering better price points and promotion mechanics that historical analysis alone cannot identify.
• Eversight is an AI-native pricing and trade promotion optimization platform that uses adaptive experimentation to continuously test and optimize prices and promotions at the product-retailer-market level.
• Rather than relying on historical data analytics alone, Eversight runs live pricing experiments in real retail environments - testing different price points, promotional mechanics, and offer structures simultaneously to discover the optimal combination for each product in each market.

Watch-outs

• Enterprise CPG and grocery focus: Eversight is designed for large CPG manufacturers and grocery retailers with sufficient transaction volume to run meaningful pricing experiments — smaller brands and non-grocery retail have limited applicability.
• Retailer data partnerships required for full value: Eversight's experimentation requires access to real-time retail transaction data — CPG companies without retailer data sharing agreements cannot run in-store experiments in those retailer environments.
• Long experimentation cycles for robust results: Adaptive pricing experiments require enough time and transaction volume to achieve statistical significance — CPGs with slow-moving products or limited distribution face longer experimentation timelines.

Pricing

Eversight enterprise contracts not published. Large CPG and retailer contracts negotiated. Annual contracts.