Revionics Unveils Alpha Release for Multi-Agent AI Pricing System

Revionics, an Aptos Company and the worldwide leader in retail pricing, announced the unveiling of the alpha release of its multi-agent AI pricing system. The live demonstration and innovation showcase took place at the Google Cloud Next 2025 event in Las Vegas during the breakout session Build and deploy multi-agent applications with Vertex AI. The presentation focused on how Google Cloud partners —including Revionics — are being empowered to build enterprise-grade AI agents.

For the first time in a public forum, Revionics’ Aakriti Bhargava, VP of Engineering and AI, and Alex Braylan, Director, Data Science and AI, pulled back the covers on what Revionics has been building — a multi-agent pricing system in which intelligent AI agents work together to help retailers solve complex pricing problems and optimize pricing decisions. Revionics’ multi-agent pricing system can understand and interact with users in natural language, making adoption a breeze for individuals of all levels of technical expertise.

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“Leveraging Google Cloud’s Agent Development Kit (ADK) on Vertex AI, Revionics’ pricing agents work in tandem to help retailers unlock a level of productivity, data democratization and real-time decisioning that has never been possible before in the retail pricing realm,” said Josh Oettle, SVP of Product Management and Engineering at Revionics.

“Our multi-agent pricing system coordinates across the agents, automating the entire workflow,” Oettle said. “For example, one agent can quickly tell you which products are priced higher than your competitors, another could forecast the impacts to your business if you matched those prices, and another would apply business rules while executing the price changes.”

Oettle continued, “We believe our multi-agent AI pricing system has the power to transform several key aspects of retail operations, including pricing team capabilities and scale, how pricing data is utilized across the extended retail enterprise, and overall, how quickly retailers can respond to ever-changing market conditions.”

Trailblazing new paths in AI for retail pricing is nothing new for Revionics; its solutions have been leveraging predictive AI models and advanced analytics for over 20 years to help many of the world’s largest retailers optimize pricing strategies.

What’s groundbreaking with this alpha release, according to Revionics General Manager Scott Zucker, is that Revionics has taken what it’s best known for — the most advanced predictive AI platform for retail pricing — and layered in agentic AI to revolutionize how retailers interact with pricing solutions — and with pricing data.

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“When retailers buy an enterprise software solution, part of what they’re buying is the pre-configured workflows that are based on industry best practices and common use cases,” Zucker said. “While pre-built workflows are important to improve operational efficiency and ensure consistent processes, we have a vision that our customers should be able to interact within the workflows of our solution — and also bypass those workflows entirely by interacting directly with their data and with our AI pricing agents.”

Zucker continued: “A pricing manager can tell the Revionics AI pricing agent, ‘Find the products that had the biggest change in elasticity, and change the price of those products by 10% while maintaining a 2% margin.’”

“In the above scenario, the pricing agents are able to break down the request into multiple parts, orchestrating across tools and agents, to arrive at the action-phase much faster than a user could working chronologically and step by step.”

“We are entering an exciting new era of pricing, where autonomous agents augment the already impressive work of pricing and merchandising teams, driving productivity and enabling retailers to scale their pricing strategies without limits,” Zucker said.

According to Zucker and Oettle, Revionics’ AI 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.

• Execute pricing changes in real time.

During the presentation at Google Cloud Next, Bhargava and Braylan also emphasized Revionics’ recent launch of Conversational Analytics, a data agent that allows users to ask questions of their data in natural language and take informed actions based on the insights they receive. Revionics Conversational Analytics is a foundational component and precursor to Revionics’ multi-agent pricing system. Revionics plans to launch its multi-agent pricing system in 2026, which will include availability on Google Agentspace, following tests with its pilot customers this year.

“We’re taking retailers on an AI journey with us — from GenAI chatbots to Conversational Analytics to AI pricing agents,” said Zucker. “As a longtime innovator in AI-powered pricing solutions, Revionics remains committed to providing retailers with intelligent, data-driven tools to help them thrive in an increasingly complex, resource-constrained and fast-paced marketplace.”

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