Why Every Sales Channel Needs to Become One Autonomous Flow

Known for Email Orders and Quotes. Running Far More Than That.

Ask most customers what Go Autonomous does and the answer is consistent: it reads email orders and quotes fast and gets them right. That reputation is earned. It is also a fraction of the picture, and it quietly puts a ceiling on how the market uses the platform. If a customer thinks the execution layer only handles email orders, that is the only thing they send it.

What is multichannel order fragmentation in B2B manufacturing?

Multichannel order fragmentation is what happens when different channels, and different types of commercial requests, are each handled through separate workflows instead of one execution layer. Most manufacturers built their automation story around email, because industry data shows email still accounts for 50 to 70 percent of B2B order and quote volume, with EDI at 7 to 15 percent and e-commerce at 5 to 9 percent. That is why email became the headline. It was never meant to be the whole story.

Across the market, still only 10 to 15 percent of B2B commercial transactions run autonomously today, industry estimates put the human-facilitated share at 85 to 90 percent. That gap is not just about which channel an order arrives through. It is about how many types of requests, beyond the order itself, still require a person to read, judge and act. Order management across every channel was always too narrow a frame for what the gap actually is.

Adopting Autonomous Commerce at Danfoss is not just about speed and efficiency. It's about empowering our customer service teams and sales force to focus on building relationships and providing personalized support.

Carlos García

Head of Digital Business, Danfoss

Why EDI Middleware and iPaaS Don’t Solve Channel Fragmentation

The instinct is to integrate. Connect the EDI gateway, add an iPaaS layer like MuleSoft or Boomi, plug in an OCI punchout or cXML catalog. This closes the plumbing gap between systems. It does not close the decision gap, and it does nothing for the request types that were never in scope to begin with, a price inquiry, a claim, a tender response.

What is the difference between channel integration and channel execution?

Channel integration moves data between systems. Channel execution reads the request, whatever it is, resolves it against pricing and contract logic, and confirms it. EDI is one channel among several, and an order is one request type among several. Integration tools solve for neither the full channel set nor the full request set, which is why the automation most manufacturers already have still stops at email orders.

What “Any Channel, Any Request” Actually Means in Practice

How does autonomous commerce unify multiple B2B order channels?

An Autonomous Commerce execution layer treats the channel as an input format and nothing more. Email and documents, e-commerce, messaging and chat, voice, EDI, and agentic commerce, orders and requests arriving from AI buying agents and marketplaces, all resolve through the same pricing, contract and validation logic before writing back to the ERP.

Human Dependency Ratio (HDR) measures the number of manual decisions still required per unit of revenue processed. It can be segmented by channel and by request type. A business can drive HDR down on email orders and still carry a high HDR on claims or price inquiries, because those request types were never brought into the same execution layer. Read the full definition.

“Any channel” covers:

• Email and documents
• E-commerce and portals, including OCI and cXML punchout
• Messaging and chat
• Voice, including phone orders and amendments
• EDI (850/855, EDIFACT)
• Agentic commerce, orders and requests initiated by AI buying agents

“Any request” covers:

1. Orders
2. Quotes and quote-to-order conversion
3. Price inquiries
4. Claims and adjustments
5. Order status requests
6. Tenders

Before and after: what changes when both dimensions unify

Known for email orders (before)	Any channel, any request (after)
Customers route only orders and quotes through the automated flow	Customers route every request type through the same flow, because it is built to handle it
Claims, price inquiries and tenders still land on a person’s desk	Claims, price inquiries and tenders resolve through the same execution logic as orders
New channels, chat, voice, agentic commerce, are out of scope	New channels plug into the same execution layer without a new project
HDR looks low on email orders and stays high everywhere else	HDR comes down consistently across channels and request types

What Changes When the Full Request Set Runs Through One Execution Layer

Danfoss runs Autonomous Commerce across 26 countries, live in a single day, with orders confirming in under a minute. See the Danfoss deployment. Go Autonomous deployment data across 30 billion-plus processed B2B transactions shows first-time-right execution above 99% once the execution layer is not limited to a single channel or a single request type.

We are constantly exploring new ways to strengthen our operations and better serve our customers. The Autonomous Commerce Platform allows us to scale excellence in customer experience.

Ben Quirk

Global Head of Customer Experience, Nilfisk

The commercial effect compounds once claims, price inquiries and tenders join orders and quotes in the same flow. Up to 43% of processing capacity has been released back to service teams in Go Autonomous deployments, and quote win rates have improved by up to 18% once response speed stops depending on which type of request the customer sent. That is the practical difference between automating a channel and executing every request, on any channel.

For manufacturers working through an implementation partner, this is also the standard partners need to build toward. Go Autonomous is bringing partners and manufacturers together in Berlin on December 1 to show this running live, across channels and request types, not as a roadmap slide.

The Cost of Standing Still

Staying known only for email orders is not a neutral position. It actively caps what the market sends you, and it caps what the business believes is possible.

• Self-limiting demand: customers only route the request types they believe the platform handles, so claims, price inquiries and tenders keep going to a person by default
• Headcount that scales with request volume, not just order volume: every request type left out of the flow needs a person to grow alongside revenue
• New channels become new projects: chat, voice and agentic commerce sit outside the automated flow instead of plugging into it
• A narrower category story than the one you actually have: competitors positioning around “order automation” look equivalent, when the real gap is channel and request coverage

Sources

• Industry estimates on B2B channel mix and automation penetration, compiled from B2B commercial operations research: email accounts for 50 to 70 percent of order and quote volume, EDI 7 to 15 percent, e-commerce 5 to 9 percent, with only 10 to 15 percent of B2B transactions running autonomously today.

See What Any Channel, Any Request Looks Like in Your Operations

If your team is known for handling email orders and quotes well, and everything else, claims, price inquiries, tenders, chat, voice, still goes to a person by default, the constraint is not your team’s capability, it is what the execution layer was ever built to cover. Go Autonomous works with 500M to 20B EUR manufacturers and distributors in the Nordics, DACH, Benelux, UKI, and France. We can show you what running every channel and every request type through one execution layer looks like in your specific environment. Book a conversation with our team.

Frequently Asked Questions

What is multichannel order fragmentation in B2B manufacturing?

Multichannel order fragmentation happens when different channels and different types of commercial requests are each handled through separate workflows instead of one execution layer, leaving gaps depending on how or what a customer sent.

Does autonomous commerce handle more than email orders and quotes?

Yes. Beyond orders and quotes, the same execution layer can resolve price inquiries, claims and adjustments, order status requests, and tenders, across channels including email, e-commerce, messaging, voice, EDI, and agentic commerce.

What is the difference between channel integration and channel execution?

Channel integration moves order data between systems, for example through EDI middleware or an iPaaS tool. Channel execution reads the request, resolves pricing and contract logic, and confirms it, regardless of channel or request type.

How does autonomous commerce unify multiple B2B order channels?

An autonomous execution layer treats the channel as an input format only, applying the same pricing, contract and validation logic to a request regardless of whether it arrived by phone, email, EDI, chat, voice or an AI buying agent.

What is Human Dependency Ratio in order management?

Human Dependency Ratio, or HDR, measures the number of manual decisions required per unit of revenue processed. It can be segmented by channel and by request type, and a business can show a low HDR on orders while carrying a high HDR on claims or price inquiries.