Danfoss and Go Autonomous Automate B2B Email Order Processing on Google Cloud

Overview

Danish manufacturer Danfoss partnered with Go Autonomous to implement its Autonomous Commerce platform, hosted on Google Kubernetes Engine, which uses specialized AI models and AI agents to interpret and execute B2B customer requests from incoming emails and attachments by triggering the appropriate actions in Danfoss's ERP software. Danfoss reports automating up to 80% of transactional decision-making and communication, reducing processing time by 50%, and consolidating a workflow spanning up to five systems into a single interface; it is live in over 20 countries.

The challenge

Danfoss had well-established digital systems for business transactions with larger partners, but there was a gap for businesses and customers with more complex ordering needs: its digital ordering tool for customers outside existing system-to-system integrations often required as much manual input as email-based ordering, and the turnaround time for manual orders used to be around 42 hours.

The solution

Danfoss discovered Go Autonomous through Google Marketplace and partnered with them to implement the Autonomous Commerce platform, which is powered by specialized AI models trained on millions of B2B transactions and uses machine learning models and AI agents to interpret and execute complex customer requests from incoming emails, including free text, tables and attachments such as PDFs, images and spreadsheets, by triggering the appropriate actions in Danfoss's ERP software. Go Autonomous hosts its proprietary AI architecture on Google Cloud, using Google Kubernetes Engine (GKE) to manage and scale the platform, and the two companies developed ERP and CRM connectors tailored to Danfoss's workflows.

Reported business value

The platform automated up to 80% of transactional decision-making and communication, potentially improving average customer response time from 42 hours to near real time for a significant volume of orders, and reduced processing time by 50%. It consolidated a user workflow from up to five different systems into a single interface, and the Danfoss team estimates average time savings of around five minutes per order. The platform is expected to save millions of euros for Danfoss by shortening the cash conversion cycle, and the simplified experience has made onboarding of new hires faster and reduced churn.