Engage3 offers a Price Image Management suite that aggregates omnichannel competitive pricing data—from in‑store audits, web scraping, and mobile collection—and applies machine‑learning to link retailer items with comparable competitors while enforcing strict quality controls. The platform analyzes shopper price perception, identifies the few products that drive that perception, and recommends optimal pricing adjustments using Efficient Frontier theory to balance margin, loyalty, and traffic, all delivered through an integrated dashboard and API with minimal IT effort.
Funding
$40M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OACFounders
Product
Problem
Retailers and brands struggle to obtain accurate, comprehensive competitive pricing data and to understand how specific items influence shopper price perception, leading to suboptimal pricing decisions that can erode margins or damage loyalty.
Solution
Engage3 provides an integrated Price Image Management suite that combines omnichannel competitive price intelligence—sourced from in‑store audits, web scraping, and mobile data collection—with advanced machine‑learning algorithms to link retailer items to comparable competitors and enforce rigorous quality controls. The platform analyzes shopper perception of price (Price Image) and identifies the few key products that drive that perception, allowing users to set prices that balance margin and price image using Efficient Frontier theory. Continuous ML monitoring updates price recommendations as competitor prices and shopper behavior change, delivering actionable pricing strategies through a unified dashboard and API. This enables retailers and brands to grow revenue, improve loyalty, and reduce unnecessary price investment without extensive IT integration.
Target Audience
Primary customers are large retailers and consumer brands that need precise competitive pricing intelligence and price‑perception‑based optimization to drive traffic, margin, and loyalty.
Features
- Omnichannel data acquisition covering millions of SKUs via in‑store audits, web crawls, and mobile app collections
- ML‑driven product linking and quality‑controlled data validation to match retailer items with like‑for‑like competitor items
- Price Image analysis that pinpoints the handful of items shaping shopper price perception and recommends optimal pricing adjustments
- Optimization engine based on Nobel Prize‑winning Efficient Frontier theory to balance price perception, margin, and sales growth
- Ongoing machine‑learning monitoring that updates price recommendations in real time as market conditions evolve
- Integrated analytics dashboard and API for seamless strategy execution and minimal IT overhead