In the November–December 2025 issue of Automazione News, a magazine published by Tecniche Nuove that tracks the evolution of industrial technologies and digital applications in manufacturing, a feature article explores the impact of artificial intelligence on customer order management.

Transformation starts with information flows. Efficient departments are not enough if customer requests arrive in different formats, with missing or inconsistent data. Every manual correction slows down the path to the ERP and triggers a chain of errors that affects planning and production.

This is where artificial intelligence brings a clear break with the past. AI agents read documents and messages, extract the relevant information, check quantities and terms, flag anomalies and trigger the required actions in company systems. These models learn, adapt and stabilize the flow, reducing processing time and variability.

The experience of the Quin Group comes through in projects developed with agents built on Azure AI Foundry. Integrating them into manufacturing processes has resulted in shorter handling times and more reliable data across the entire order lifecycle.

The picture that emerges is one of more connected business processes, where sales, planning, logistics and production share consistent, accessible data. It is a transformation that requires specialized skills, the right tools and a cultural mindset ready to support change.

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