commercetools and Mirion Technologies announced a co-design partnership on June 16 to develop an AI-powered B2B Intake Agent that converts unstructured order requests into structured quotes and carts in minutes. The tool aims to reclaim a chunk of the 70% of working time sales representatives spend on administrative tasks, according to DocuSign data cited by commercetools.
The announcement, made in Boston, targets one of the most persistent friction points in enterprise sales: the manual re-entry of order data from emails, PDFs, spreadsheets, and CSV files across multiple backend systems. That manual work slows response times, inflates costs, and creates unnecessary hurdles for buyers.
How the intake agent works
When an incoming request arrives in whatever format the buyer sends, the agent extracts SKUs, quantities, and product specifications and matches them against catalog data. It then routes the request to the appropriate business unit, customer account, and pricing structure before generating a draft quote or cart. A sales rep reviews the output before it reaches the customer.
The agent connects to CRM and customer service platforms such as Zendesk through an API-first architecture, so it fits into existing workflows rather than forcing teams to adopt entirely new tooling. commercetools describes the underlying philosophy as "autonomous commerce," where AI systems execute operational decisions within defined business rules.
"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, Chief Product Officer at commercetools. "We built this capability to apply AI where it creates immediate value inside real workflows. It helps teams move faster today, while giving businesses a practical foundation for more agentic commerce over time."
Why Mirion Technologies
Mirion Technologies manufactures radiation detection and measurement equipment - products with complex specifications, regulatory requirements, and procurement workflows where errors carry real consequences. That environment made the company a demanding proving ground for an AI order intake tool.
By co-designing the agent alongside Mirion, commercetools stress-tested the capability against operational complexity that a simplified pilot would not surface. The goal was to ship something shaped by actual enterprise edge cases, not a theoretical average. For sales teams working with similarly complex product lines, this AI for Sales approach signals that the tool has been vetted under real-world pressure.
"For manufacturers like Mirion, speed matters, but accuracy matters just as much," said Matthew Maddox, VP of Digital Commerce at Mirion. "Many customer requests involve complex products, specific requirements, and workflows that cannot afford delays or errors. We see strong potential for AI to simplify order intake, improve responsiveness, and help our teams focus on solving customer needs."
Broader implications for B2B sales operations
The case for automating order intake in B2B settings is not primarily about headcount reduction. Faster quote generation affects conversion rates, average order value, and customer retention - particularly in sectors where buyers evaluate vendors partly on response time. For technically complex orders, a slow turnaround can signal operational risk to the buyer.
commercetools frames the Intake Agent as an entry point into a wider autonomous commerce strategy, where AI increasingly handles routine transactional decisions. The Mirion partnership provides a reference customer with demanding real-world requirements, which enterprise buyers evaluating similar tooling will likely scrutinize closely.
The agent applies broadly across industries where B2B orders still arrive through offline or semi-structured channels - manufacturing, distribution, industrial supply, and healthcare procurement among them. For sales and operations leaders, the central question will be how the system handles ambiguous or incomplete incoming requests and what human-review steps remain before a quote reaches the customer.
Why this matters for sales professionals
Every hour a sales rep spends retyping order details from a PDF into a CRM is an hour not spent selling. The Intake Agent tackles that directly by automating the data-entry legwork while keeping a human in the loop for final review. For reps who handle high volumes of complex, multi-line orders, this kind of tool can shrink quote turnaround from days to minutes - a difference that directly affects quota attainment and commission checks. Sales leaders evaluating similar automation should ask vendors hard questions about accuracy on messy, real-world requests and how the handoff between AI and human review actually works in practice. For reps looking to build skills around these tools, an AI Learning Path for Sales Representatives can provide practical grounding in what these systems do and where they fit into daily workflows.
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