AI case study

DanfossB2B order processing

Email orders took 42 hours to process across five systems. AI agents now parse files and trigger ERP actions in under one minute.

Published

Key results

Time Reduction
50%
Saved Per Order
~5 mins
Automation Rate
>80%

Result highlights

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The story

Context

A global manufacturer of energy-efficient solutions operating in over 100 countries, serving a complex network of OEMs, distributors, and end users.

Challenge

Manual processing of B2B email orders took up to 42 hours, requiring staff to interpret unstructured text and attachments across five different...

Solution
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Quotes

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The company

Engineering solutions for heating, cooling, and industrial power electronics.

IndustryIndustrial & Manufacturing
LocationNordborg, Denmark
Employees10K-50K
Founded1933

The implementation partner

Go Autonomous logo

Go Autonomous

goautonomous.io
Role in this case study

Configured its platform and developed ERP/CRM connectors for Danfoss's order workflows.

IndustrySoftware & Platforms
LocationCopenhagen, Denmark
Employees11-50
Founded2020

The vendor

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

Use case

Danfoss's B2B order processing is part of this use case:

Data Extraction
113 case studies(+31% YoY)
Proven impact?
LowModerateVery Strong
4.5Moderate
3.7Moderatewithin Industrial & Manufacturing
7.6Strongwithin Sales

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