Competitive Intelligence (Price, Positioning)
From use case: Competitive Intelligence (Price, Positioning)
- KTC (Ukraine): Tracked 10,000 products across thirteen competitors using Pricer24. Seven daily checks automated data collection, delivering real-time insights to category managers and replacing inefficient manual routines.
- An online cosmetics retailer deployed real-time scraping to enable dynamic pricing, improving profitability while maintaining competitiveness.
- A global manufacturer implemented digital shelf monitoring to track listings, stock levels, and price changes across major marketplaces; faster detection of competitor moves improved promo timing and margin control.
- A multinational electronics firm identified rivals’ recurring peak-season price playbooks via AI analytics and responded proactively to deliver a 15% profit uplift while gaining share.
A 2024 Coresight Research survey found that 92% of U.S. retailers already were using AI in pricing strategies. The retail market research firm estimated AI-based pricing technology could increase sales by 10% and profit margins by up to 5 percentage points.
The market for AI pricing solutions is expanding: Coresight estimates sales of such technology would hit $1.6 billion in 2024 with 16.5% CAGR through 2028. In the U.S., Coresight projected annual growth of 14.8% CAGR to $1.4 billion by 2028.