LAS VEGAS—At Google Cloud Next 2025, Revionics, an Aptos Company and a leader in retail pricing, announced the alpha release of its next-generation multi-agent AI pricing system. According to the company, this is a significant leap forward in how retailers can automate and scale pricing strategies in real time. Revionics plans to launch the system in 2026.
The innovation was presented during the breakout session “Build and deploy multi-agent applications with Vertex AI,” which showcased how partners like Revionics are building enterprise-grade AI agents using Google Cloud’s Agent Development Kit (ADK) and Vertex AI.
Reimagining retail pricing with AI agents
For the first time in a public setting, Revionics executives Aakriti Bhargava, VP of Engineering and AI, and Alex Braylan, Director of Data Science and AI, demonstrated how the new system uses intelligent AI agents that collaborate to tackle complex pricing challenges — from identifying competitive price gaps to forecasting business impact and executing pricing actions.
With Revionics’ multi-agent pricing system, intelligent AI agents work together to help retailers solve complex pricing problems and optimize pricing decisions. 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.
“Our multi-agent pricing system coordinates across the agents, automating the entire workflow. 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,” says Josh Oettle, SVP of Product Management and Engineering at Revionics.
“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,” he added.
“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,” Revionics General Manager Scott 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.”
From chatbots to actionable intelligence
The alpha release builds on Revionics’ recent launch of Conversational Analytics, a data agent that lets users query pricing data in natural language and take real-time actions. This foundational component plays a critical role in enabling Revionics’ broader vision: moving from passive data analysis to action-oriented AI pricing agents that transform how retail teams work.
“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.”
With a full commercial launch planned for 2026, Revionics will continue pilot testing with select retailers throughout 2025. The solution will ultimately be available on Google Agentspace, enabling broad access to retailers seeking to future-proof their pricing strategies.
