Success Cases

The Impact of Autonomous Commerce

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Mediq

Mediq

Autonomous order handling across four Nordic countries

Challenge
Complex healthcare orders required heavy manual processing across multiple countries.

Results
91% of order-related tasks are handled autonomously.

Impact
Consistent execution, reduced manual effort, and faster operations across Sweden, Norway, Denmark, and Finland.

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Nefab

Nefab

A global leader running 95% of orders through email

Challenge
95% of orders arrived via email, creating manual bottlenecks and slow execution.

Results
Orders are processed autonomously in real time — consistently and at scale.

Impact
Customer service shifts from data entry to advisory work. Speed and scalability become standard.

Danfoss

Danfoss

90% faster order intake without increasing headcount

Challenge
High order volumes caused long processing times and frequent manual errors.

Results
Order processing time reduced by 90%. Over 80% of orders automated.

Impact
Lower error rates, higher efficiency, and teams focused on strategic work.

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What industry leaders say about Autonomous Commerce?

Each time we added a million or two in euros, we had to add another operator. From a cost perspective, that's an unsustainable way of operating a business. The pace of data exchange is rapidly increasing.

Mikkel Diness Vindeløv

Vice President Customer Care – Hempel

Mikkel Diness Vindeløv

We would have loved to introduce Autonomous Commerce earlier, but there wasn't a solution out there. It's very important in our business that we get back to the customers as quickly as possible.

Paul Thompson

Chief Executive Officer, Aerospheres

Paul Thompson

We couldn't really see that we could scale. There is definitely a direct correlation between customer satisfaction and revenue. We know that for a fact.

Anders Pettersson Liechti

CIO, Nilfisk

Anders Pettersson Liechti

AI is really in the future. We can respond to our customers faster, so it's a business-critical solution.

Carlos García

Head of Digital Business, Danfoss

Carlos García

Nilfisk

Nilfisk

Scaling order management across European markets

Challenge
Manual order handling slowed execution and limited scalability across regions.

Results
AI-powered order management implemented across key European markets.

Impact
Faster transactions, reduced manual workload, and a scalable operational foundation.

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Hempel

Hempel

Handling complex orders without slowing growth

Challenge
Highly complex, unstructured orders required extensive manual handling and slowed execution.

Results
Order handling streamlined with consistent data quality across channels.

Impact
Faster execution, improved accuracy, and scalable growth without increasing operational complexity.

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Grundfos

Grundfos

Turning complex orders into scalable growth

Challenge
Growing request volumes created pressure on customer service capacity and response times.

Results
Up to 70% of customer service requests handled autonomously in the first year.

Impact
Higher service capacity, faster responses, and scalable operations without adding headcount.

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Autonomous Commerce is here.

Autonomous Commerce is here.