ShopVision is a competitive intelligence platform that tracks competitors' pricing, promotions, marketing campaigns, and product assortment across ecommerce channels in real time. It uses AI-powered product matching and agentic web browsing to capture signals competitors hide, and presents them in a unified dashboard with an AI assistant that answers strategic questions. The platform serves brands, retailers, and agencies, tracking 15M+ products and 500K+ ads weekly.
Funding
Funding not disclosed
Founders
Product
Problem
Retail and ecommerce teams often operate with fragmented, stale competitive data, relying on manual scraping, spreadsheets, and weekly reports that miss rapid market moves. By the time a price change, promotion, or product launch is noticed, margin and conversion have already been lost, leaving teams reacting instead of strategizing.
Solution
ShopVision provides a unified competitive intelligence platform that continuously tracks competitor activity across pricing, promotions, marketing, and assortment, delivering real-time alerts and actionable insights. Using AI-powered product matching, ShopVision identifies exact and equivalent competitor products down to the variant level, even when data like UPCs is hidden. The platform captures marketing moves including ads, emails, social posts, push notifications, and on-site banners, then structures them into a searchable, queryable interface. An integrated AI Super Agent answers strategic questions in plain English, and a Time Machine feature replays any day's competitive activity from three years of history. Teams can layer on modules for pricing, catalog, or wholesale and MAP intelligence as needed, all running on the same live data set.
Target Audience
Primary customers are brands defending market share, retailers winning categories, and agencies managing competitive intelligence across client portfolios in ecommerce.
Features
- AI-based product matching that identifies exact and equivalent competitor products using visual inputs, descriptions, specs, and hidden metadata, with configurable match scoring and human-review overrides
- Real-time price monitoring with alerts via email, Slack, Teams, or webhooks at variant, product, or category level, tracking price, promo, bundle, and shipping changes
- Promotional intelligence that captures the full offer including coupon codes, cart-applied offers, and activation-based campaigns, matched to specific SKUs
- Computer agents that browse like humans to capture pricing hidden behind logins, carts, or click-to-reveal interfaces
- Marketing capture covering ads across Meta, Google, TikTok, push notifications, social posts, and sitewide banners, with swipe files for tagging and saving creative
- Time Machine feature offering three years of on-demand historical data to replan launches and verify what competitors ran on specific dates
- LLM-based web agents that read product pages like a person, learning from team corrections to improve matching accuracy over time