Every retailer today faces the same paradox: customers want lower prices, shareholders want higher margins, and competitors are updating prices by the minute. The transformation from static, rule-based pricing to dynamic, AI-powered optimization isn’t just about efficiency, it’s about intelligence. Engage3’s AI-driven platform enables end-to-end pricing transformation, connecting competitive intelligence, behavioral science, and strategic execution into one continuous feedback loop.

Across grocery, e-commerce, and FMCG formats, many retailers found themselves stuck in reactive price wars. Online teams relied on rigid rules, store teams lacked accurate data, and executives couldn’t connect pricing decisions to customer perception. The result: runaway discounting, inconsistent value messaging, and shrinking margins.

Engage3 partnered with leading retailers to deploy its full AI Pricing Stack, integrating data collection, behavioral AI modeling, and strategic execution into one cohesive ecosystem.

Engage3’s ML-powered Competitive Intelligence Management aggregated billions of online and in-store data points. Dynamic missions, predictive QA, and computer vision boosted find rates from below 50% to over 90%, eliminating dozens of hours of manual validation each week. The result was one unified “comparative truth” aligning assortment, loyalty, and sales data. Automated product linking achieved over 99% accuracy across tens of millions of items.

Results: 90%+ in-store find rates and 99%+ accuracy across millions of links.

A leading retailer’s e-commerce division deployed Engage3’s LLM-powered Digital Shelf Intelligence system across more than 500 sites in 50+ languages. Within four weeks, AI-enabled blueprinting and translation models enabled global rollout with a 20% improvement in data fidelity and over 99% on-time delivery, ensuring real-time visibility into competitive moves and pricing trends.

Results: 20% improvement in digital shelf data accuracy and 99%+ on-time delivery.

Engage3’s proprietary Behavioral AI models analyzed shopper response to price changes at a micro level, quantifying where price truly influenced loyalty and traffic. The AI identified the small subset of items that disproportionately drove perception (Price Image Drivers) while recommending margin recapture on background items.

Results: 60%+ reduction in pricing investment without hurting competitiveness, 5% unit growth across categories, 10% growth in Price Image Drivers, a 6% lift in topline sales, and a 3% increase in gross profit for e-commerce.

Engage3’s platform proves that AI’s true value lies in integration, not isolation. By linking data, insight, and execution in one continuous loop, pricing evolves from a reactive cost center into a predictive growth engine. Each cycle makes the system smarter and more attuned to shopper perception, helping retailers master the ultimate challenge of modern commerce: delivering profitable price perception at scale.