Revionics Unveils Alpha Release of Multi-Agent AI Pricing System at Google Cloud Next 2025

At Google Cloud Next 2025, Revionics unveiled the alpha release of its multi-agent AI pricing system, showcasing how intelligent agents can collaborate to automate complex retail pricing decisions.

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Revionics, an Aptos company and a global leader in retail pricing solutions, has unveiled the alpha release of its cutting-edge multi-agent AI pricing system during a live demonstration at Google Cloud Next 2025. Presented during the breakout session Build and deploy multi-agent applications with Vertex AI, the showcase highlighted how Revionics is pushing the boundaries of AI in retail pricing.

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Led by Aakriti Bhargava, VP of Engineering and AI, and Alex Braylan, Director of Data Science and AI, the session offered a first public look at Revionics’ intelligent agents — designed to work in concert to help retailers make complex pricing decisions more efficiently and intuitively.

Built using Google Cloud’s Agent Development Kit on Vertex AI, the system allows users to interact with pricing data in natural language, regardless of technical expertise. The AI agents can analyze competitive pricing, forecast business impacts, apply business rules, and execute pricing changes autonomously.

According to Zucker and Oettle, Revionics’ AI pricing agents will be able to

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  • 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 is built to transform how retailers scale, interact with pricing data, and respond to changing market dynamics,” said Josh Oettle, SVP of Product Management and Engineering at Revionics. “This isn’t just automation — it’s orchestration across intelligent agents.”

The innovation builds on Revionics’ two decades of experience in predictive AI for pricing, now enhanced with agentic AI capabilities. Scott Zucker, General Manager at Revionics, emphasized that the system enables retailers to move beyond pre-set workflows and engage directly with AI agents for real-time, dynamic pricing decisions.

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The alpha release also integrates Conversational Analytics, Revionics’ natural language data agent, launched recently as a precursor to the full multi-agent platform expected in 2026. The solution will be available through Google Agentspace, following pilot programs later this year.

“We’re taking retailers on a journey — from chatbots to conversational analytics to autonomous pricing agents,” said Zucker. “This is the future of retail pricing: fast, scalable, and deeply intelligent.”