The ecommerce platform provider commercetools announced the release of the first artificial intelligence (AI) agent that it has co-developed with Mirion Technologies.
The agent, which commercetools refers to as the B2B Intake Agent, is designed to help commercetools clients to take unstructured customer order requests and output actionable quotes and cart information.
The launch follows other major updates from commercetools in 2026, including the release of its agentic commerce product, AgenticLift.
How commercetools and Mirion designed their B2B AI agent
“Many B2B businesses have talented sales and service teams spending too much time translating incoming order requests instead of serving customers,” said Shiri Mosenzon-Erez, the chief product officer at commercetools. “We built this capability to apply AI where it creates immediate value inside real workflows.”
Mosenzon-Erez noted that the team behind the agent prioritized speed and ongoing performance improvement.
“It helps teams move faster today, while giving businesses a practical foundation for more agentic commerce over time,” she stated.
In a press release, commercetools cited emails, PDFs, spreadsheets and other file formats that exist offline as examples of inputs that could slow down processes through manual re-entry across systems. The company is positioning its B2B Intake Agent as a solution to those delays.
In addition, it claims that the agent will be able to integrate with customer relationship management (CRM) and service platforms, including Zendesk. Those integrations will be enabled through application programming interface (API) features.
Mirion Technologies’ use case for the AI agent as a manufacturer
Mirion is a manufacturer and provider of nuclear measurement and detection systems. It validated the needs that commercetools is trying to address through the new AI agent.
“For manufacturers like Mirion, speed matters, but accuracy matters just as much,” said Matthew Maddox, vice president of digital commerce at Mirion. “Many customer requests involve complex products, specific requirements, and workflows that cannot afford delays or errors.”
Maddox acknowledged that Mirion expects AI to help solve these problems.
“We see strong potential for AI to simplify order intake, improve responsiveness, and help our teams focus on solving customer needs,” he said.
Mirion worked with commercetools to co-design the agent. The goal on commercetools’s side was to map capabilities to situations and operational requirements experienced by an enterprise client on the ground.
Ultimately, commercetools expects to see manual processing time reduced, productivity improved, operational costs lowered and customer response times sped up. It believes those results can lead to better conversion rates, average order value and customer retention.
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