AI is helping retailers satisfy price-sensitive shoppers, manage cost fluctuations and protect profit margins
ALPHARETTA, Ga. — December 3, 2025 — Revionics, an Aptos Company and the leader in AI pricing optimization for retail, announced today the findings of a new research study conducted by Chain Store Age that shows AI is becoming indispensable in helping retailers tackle price sensitivity, manage cost volatility, protect margins and unlock new opportunities for growth.
Chain Store Age surveyed 98 retail professionals Sept. 13-29 to understand both the current use and planned adoption of AI in pricing.
Two-thirds (67%) of respondents expect to increase their investment in AI pricing technologies over the next two years, with nearly one-third anticipating a significant increase. Notably, no respondents foresee a decrease in investment, signaling strong confidence in AI’s role in driving pricing strategy and business performance.
Retailers cited their desire to “drive revenue growth,” “increase profit margins” and “enhance customer loyalty” when asked about their top pricing priorities. And when asked about their top pricing challenges, respondents cited: “consumers are more price sensitive,” “keeping up with the impacts of inflation / tariffs / cost increases” and “increased pricing aggressiveness from competitors.”
Retailers using AI for pricing are experiencing myriad benefits, including “greater operational efficiency,” “better alignment with broader business goals,” “improved margins” and “faster response to competitor and market changes.”
“The complexity retailers face today — from heightened consumer price sensitivity and rising costs to relentless competitive aggression — is simply too great for traditional, manual pricing methods to manage,” said Matthew Pavich, Senior Director, Strategy & Innovation at Revionics. “In the retail sector, we’re seeing a clear shift: The market leaders are moving away from legacy pricing practices and adopting AI price optimization to secure both their margins and customer loyalty.”
Future Focus: Agentic AI
Looking ahead, two out of three retailers agree that the use of AI agents for pricing will be essential to staying competitive by 2030. Yet, while the majority of respondents say agentic AI is critical, only 21% have a clear roadmap for it, reinforcing the need for retailers to partner with trusted AI pricing providers.
“The next pricing frontier is agentic AI,” said Pavich. “While retail executives agree that AI agents are key to future success, our report highlights a readiness gap. This is where strategic partnership becomes critical. The race is on for retailers to establish the right technology partners, organizational maturity and data foundation required to harness this next generation of intelligent automation."
Earlier this year, at the Google Cloud Next 2025 event in Las Vegas, Revionics announced the alpha release of its multi-agent AI pricing system.
During a live demonstration, Revionics showcased how the company’s pricing agents will be able to surface suggested actions across all areas of pricing; evaluate user-inputted pricing recommendations, analyze additional scenarios and visualize the impact of pricing decisions; and execute pricing changes in real time.
To learn more about retailers’ utilization of AI pricing technologies — including pricing agents — download the Chain Store Age survey, “Retail Pricing Gets Smarter: Benchmarking AI Adoption and the Rise of Agentic.”
About Revionics, an Aptos Company
Revionics LLC, an Aptos Company, provides enterprise retailers around the world with leading science-based solutions for pricing, promotions and markdowns. As a trusted partner for top retailers across a variety of industries and markets, Revionics delivers unparalleled results in ROI, profit lift, process efficiencies and more.
Revionics and Aptos are registered trademarks of Revionics, LLC and Aptos, LLC, respectively. All other company and product names may be Trademarks, Registered Trademarks or Service Marks of the companies with which they are associated.