Revionics' Multi-Agent Pricing System Is Now GA. Here's What That Means for Retail
A year ago, my colleagues Aakriti Bhargava and Alex Braylan stood on stage at Google Cloud Next 2025 in Las Vegas and showed the world — for the first time — what our team had been building: a multi-agent AI pricing system that could fundamentally change how retailers interact with pricing data, make decisions and take action. That alpha release moment was electric. The response from customers, partners and the broader retail industry confirmed what we believed: the future of retail pricing is agentic AI.
Today, I'm proud to announce that the future is here. Revionics' Multi-Agent Pricing System is now Generally Available — and we'll be making the official announcement at Google Cloud Next 2026 during the session From concept to commerce: the Revionics journey to a commercial AI retail pricing agent.
Talk about a full circle moment.
The Journey That Got Us Here
When we introduced the alpha release last year, we pulled back the curtain on what made our agentic vision different: intelligent AI agents that work together, each contributing a specialized capability toward solving a complex pricing challenge. One agent surfaces competitive gaps. Another models the financial impact of closing those gaps. Another enforces your business rules and executes the price changes — all in a natural language conversation that anyone on your team can participate in.
The alpha release gave us the opportunity to put the system in the hands of retailers and learn from them. That feedback shaped and sharpened what we're releasing today.
Transforming How Retailers Interact with Pricing
For too long, pricing has been a discipline defined by its constraints — time-consuming analysis, data siloed across systems, slow response to market changes and decisions made without a clear picture of downstream impact. Even the most sophisticated and well-staffed pricing teams face these challenges if they are not supported by advanced AI and analytics tools.
Our multi-agent system changes that equation. It will bring together a retailer's own sales data, competitive pricing, margin rules and AI-powered forecasting — and make them accessible through a simple, natural-language conversation. No complex workflows to navigate. No waiting on analysts. Just direct access to the insights and actions your business needs.
Imagine a pricing manager saying, "Show me the categories where we're most exposed to the competition this week." In seconds, the system surfaces which categories are at risk, identifies the specific SKUs driving the exposure, pinpoints the contributing factors and proposes actions — complete with a forward-looking forecast of the financial impact.
A look at Revionics' AI pricing agent — as demonstrated live at Google Cloud Next 2026
Powered by Google Cloud, Built for Scale
Reaching this milestone wouldn't have been possible without our deep partnership with Google Cloud.
Our engineering team utilized the Google Agent Development Kit and serverless infrastructure to ensure scalability, governance and speed to market. Our collaboration with Google meant we had a foundation capable of securely powering the kind of sophisticated, multi-agent architecture we envisioned.
And now, with GA, we plan to take the next step: making the Revionics multi-agent pricing system available on Google Agentspace — marking Revionics not just as a consumer of Google AI but as a builder of new, commercially viable agentic products on top of it.
What GA Means for the Industry
Revionics has been at the forefront of AI-powered retail pricing for over 20 years. We've helped some of the world's largest retailers optimize their pricing strategies using predictive science and advanced analytics. With this GA release, we're taking everything we've built — the AI, the science, the institutional knowledge — and making it accessible in a fundamentally new way.
We're entering a new era of pricing. One where autonomous agents don't replace the expertise of your pricing team — they amplify it. Where data that was previously locked in dashboards and spreadsheets becomes instantly accessible to anyone who needs it. Where retailers can respond to ever-changing market conditions with a speed and precision that were simply not possible before.
At its full maturity, our multi-agent system will help retailers:
- Surface opportunities they're missing — competitive gaps, underperforming categories and elastic items that could be driving more revenue
- Model "what-if" scenarios instantly — forecast the impact of any pricing change before a single price is moved
- Execute with confidence and speed — apply business rules, respect margin targets and push changes in real time
- Scale without limits — augmenting pricing and merchandising teams so they can do more with the same resources
The alpha release showed what was possible. Vigorous end-user testing proved it could work in production. GA means it's ready for you.
Welcome to the future of retail pricing. Let's go.
Interested in learning more about Revionics' multi-agent system and AI pricing platform? Connect with our retail pricing experts.
As SVP of Product & Professional Services for Revionics, Josh is focused on delivering leading solutions for retail pricing, promotions, markdown optimization and beyond. His role brings together the deep expertise of Revionics' product management, engineering, data science and professional services teams with customer feedback and market insights ensuring that innovations not only reach market but are successfully realized for customers globally.