Decision Analytics

Expose bottlenecks. Find opportunities. Grow faster.

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See the truth in your revenue before you scale it

See the truth in your revenue before you scale it

Every autonomous action starts with one thing: clean, explainable intelligence.

Decision Analytics turns the world’s messiest B2B data — emails, PDFs, line items, exceptions, intent — into a clear picture of how revenue actually moves through your enterprise. It reveals the decisions your teams make every day, the friction slowing down growth, and the opportunities hiding in unstructured demand.

Turn Visibility into Autonomous Performance

Understand every decision, quantify every risk, and scale AI with confidence.

Turn Visibility into Autonomous Performance

Understand every decision, quantify every risk, and scale AI with confidence.

Decision Analytics unlocks intelligence for Autonomous Commerce

1

End-to-End Visibility and Decision Traceability

 

Gain real-time insight into every quote, order, and decision — whether made by a human or by AI.

2

Data-Driven Commercial Intelligence

 

Convert unstructured data into revenue intelligence that powers faster, more precise decisions.

3

Safe AI Adoption for Commercial Decision-Making

 

Validate AI accuracy and compare human vs. digital performance before delegating decisions.

4

Continuous Improvement


 

Every transaction makes the system smarter, improving speed and profitability.

Make every decision count in Autonomous Commerce

Control comes from clarity, not complexity.


Decision Analytics gives leaders the visibility to trust every autonomous action. It transforms unstructured data into measurable intelligence — showing how decisions are made, where friction slows revenue, and when AI is ready to take over safely. With full transparency and control, enterprises move from reactive to predictive — turning every decision into a competitive advantage.

Voice of the customer

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

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

From a leadership perspective, we are also on a journey. We are increasing our own literacy in terms of autonomous processing, AI, and so forth.

Mikkel Diness Vindeløv

Vice President, Hempel

Mikkel Diness Vindeløv

The customers… they try to manage their supply chains. Speed is becoming so much more important.

Fredrik Sölscher

EVP IT & Digitalization, Nefab Group

Fredrik Sölscher

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

FAQ about Decision Analytics

What is Decision Analytics in Autonomous Commerce?

Decision Analytics transforms unstructured commercial data into actionable insight. It shows how revenue moves, how decisions are made, where friction occurs, and when AI is ready to safely take over commercial decision-making and operations.

How does Decision Analytics reduce risk when adopting AI?

It compares human vs. AI decisions side by side, validating accuracy, speed, and quality before automation. Executives gain full visibility into correctness, enabling safe delegation of commercial decisions without operational risk.

Why do enterprises need visibility into unstructured demand?

Most revenue flows through emails, PDFs, and spreadsheets — data ERPs can’t interpret and humans cannot possibly register in full. Decision Analytics unlocks this hidden demand, exposing missed opportunities, delays, and risks that limit growth, margin, and customer experience.

How does Decision Analytics improve Order-to-Cash performance?

It provides a real-time view of bottlenecks across all channels, revealing delays, errors, and rework. Leaders get clear insight to improve throughput, reduce manual tasks, and accelerate the cash conversion cycle with measurable precision.

Can Decision Analytics help justify the business case for autonomy?

Yes. The data quantifies the cost, speed, and quality of human decision-making vs. autonomous execution, showing where autonomy delivers impact fastest. Executives get evidence-based insights to prioritize investments and scale automation with confidence.

How does Decision Analytics support commercial strategy?

By surfacing patterns in customer requests, pricing behavior, and product demand, it reveals upsell, cross-sell, and margin opportunities. Leaders use this intelligence to optimize offerings and strengthen commercial execution.

What makes Decision Analytics different from BI or reporting tools?

Traditional BI is a great tool to visualize data. Decision Analytics interprets unstructured transactions and decisions — the real drivers of revenue — and feeds it into a desired business intelligence tool like Power BI. Decision Analytics provides insight into human and AI actions in real time, enabling continuous improvement and safer autonomy.

Autonomous Commerce is here.

Autonomous Commerce is here.