Competera Pricing platform enables retailers and brands across all retail industries and markets to increase customer trust by setting and maintaining optimal AI-generated price positions. By continuously calculating and re-quantifying billions of possible price combinations, the platform’s deep learning algorithms minimize the enterprise clients’ financial losses, rebounding on average 6% of gross margin. The optimal price recommendations across the entire pricing life cycle from initial, shelf to markdown, and promo price are based on 20+ pricing and non-pricing factors combined with real-time competitive data. Problems we address: 1. Reactive Pricing - you change your prices after competitors’ prices or supply costs are changed 2. Limited Number of Factors - considering a limited number of factors and applying manual or expert-based rules instead of comprehensive repricing logic 3. Inaccurate Data - historical and fresh competitive data with the low accuracy of product matchings provokes continuous mistakes in pricing decision-making