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Competera, a provider of AI-driven retail pricing solutions, today announced that it has been named a Leader for the second consecutive year in QKS Group’s SPARK Matrix™: Intelligent Retail Pricing and Promotion Optimization (IRP&PO), Q4 2025. The report evaluates leading global vendors on their technology excellence and customer impact, and among the 16 vendors assessed, Competera was named a Leader for its proprietary contextual AI pricing algorithms, enterprise-grade scalability, and proven customer impact.
According to QKS Group, retailers are increasingly adopting AI- and machine learning-based platforms that integrate base, promotion, and markdown pricing within a unified optimization framework. These systems enable real-time analysis of demand, elasticity, and shopper behavior, helping retailers minimize margin leakage, strengthen customer trust, and transform pricing into a strategic growth lever.
Competera was recognized for its comprehensive, AI-native pricing platform, built on proprietary Contextual AI, which enables retailers to optimize the full pricing lifecycle with 95%+ predictive accuracy. The report highlights Competera’s strengths in data acquisition, competitive pricing intelligence, and scenario-based simulations that allow retailers to evaluate pricing strategies before execution. It also notes the company’s focus on portfolio-level optimization, promotion ROI measurement, and explainable AI, empowering commercial teams to make faster, more transparent decisions.
“We see this recognition from QKS Group as a reflection of our mission to redefine how industries approach pricing,” said Alex Halkin, Co-Founder and CEO of Competera. “Businesses can no longer view pricing as a reactive process; it’s becoming a strategic, customer-centric process that balances competitiveness, profitability, and shopper trust. Our focus has always been on building technology that brings clarity and confidence to pricing decisions, turning what was once a manual task into a competitive advantage.”
The report further identifies key trends shaping the retail pricing and promotion market, including the rise of “what-if” scenario planning, API-first cloud architectures, and the early adoption of generative AI for pricing assistance and data enrichment.
