Three ways autonomous commerce pays off for B2B manufacturers and distributors
B2B manufacturers and distributors are sleeping on a big opportunity: E-commerce platforms capture digital orders well, but behind the storefront, many of those orders still need manual work before they reach the ERP: custom pricing, quote comparison, warehouse selection, special delivery terms. And most B2B volume never touches the storefront at all. It arrives by email, EDI, phone and other channels where someone has to read it, key it in, check it, approve it, and release it by hand.
Closing this gap means looking beyond the webshop to how orders are handled across every channel. Automation can help companies process incoming requests, apply business rules and move orders into the ERP with less manual intervention.
Improving order processing can affect three important areas of the business: revenue, operational costs and working capital.
1. Revenue: respond to customer demand faster
In B2B, the fastest credible answer often wins the deal. Yet quote requests usually sit in a shared inbox next to order changes and complaints, waiting for someone to get to them. Replies take days and sometimes don’t happen at all because the team doesn't have the capacity.
Automating request handling can help teams prioritize enquiries, respond to straightforward quote requests faster and identify cases that need additional sourcing or human input. The aim is to reduce response times from days to minutes where the request allows it.
With less admin work, the team can focus on the pricing decisions that protect margin.
Most B2B companies invest in cross-sell and upsell on their webshop, but most quotes and orders never pass through it. Extending product recommendations, substitutions and relevant "customers also buy" suggestions to email, phone and other ordering channels can help businesses identify opportunities that webshop-only strategies miss.
Using Go Autonomous for autonomous quoting, Aerospheres, a wholesale distributor, added almost $3M a year.
2. Cost to serve: grow business without growing headcount
Up to 75% of customer care time goes into quote-to-order administration: reading emails, keying in data, checking prices and addresses, handling substitutions and chasing exceptions. This is time not spent with customers.
Traditional automation works well for structured, predictable tasks, but B2B order processing often involves exceptions: unclear requests, non-standard pricing, one-off delivery addresses, customers who order a little differently every time. When traditional automation can't handle these exceptions, orders are sent back to a manual queue, leaving the team to deal with them.
Then there is the cost of errors. Every wrong SKU, quantity, price or address triggers rework in customer service, the warehouse, logistics and finance, plus a frustrated customer.
Human oversight remains important, particularly when an order involves an exception or a decision that requires additional context.
With Go Autonomous, Danfoss reached an 80% share of digital revenue across a business of 72 sales organizations in more than 50 countries. Meanwhile, IFM cut errors by 47% and increased revenue throughput per person by 60%.
3. Cash conversion cycle: get paid faster
This is the pillar most companies overlook, and the one CFOs care about most. The cash conversion cycle starts the moment an order arrives. Every hour it sits in an inbox delays the shipment, the invoice and the payment.
Manual order handling slows this down in three ways:
Idle time: orders wait in queues and between teams while someone checks an account, a delivery date or a product.
Process variance: everyone processes orders a little differently, and that inconsistency creates friction in the warehouse and logistics.
Re-invoicing: errors lead to disputes. The customer gets the wrong item or quantity, rejects the invoice, and waits for a corrected one before paying. Each re-issued invoice stretches the cycle for that order.
More automated and consistent order processing can reduce time spent waiting in queues, limit process variation and help prevent errors that lead to invoice disputes.
For a €1 billion manufacturer, one day of cash conversion cycle ties up around €2 million in working capital. With Go Autonomous, Nilfisk cut order throughput time by multiple days, reduced process variance by 20% and errors by 28%, and reached payback in under a year.
One execution layer for every order
E-commerce captures the orders your customers are willing to place online. Go Autonomous handles everything else and makes sure every order, from every channel, is executed the same way: fast, accurate and ready to invoice. Together with Vaimo, you get a storefront and an execution layer built to grow revenue, lower the cost to serve and free up working capital at the same time.
