Three reasons B2B manufacturers and distributors should automate their order processing
B2B manufacturers and distributors are sitting on an opportunity! While ecommerce platforms handle digital orders smoothly, most B2B volume still arrives by email, EDI, voice or similar channels requiring manual order entry. This gap is filled by Vaimo and Go Autonomous.
What autonomous execution can do for your business:
1. Separate growth from cost
When orders arrive by email, your team typically has to manually process them. Data entry, pricing decisions, address handling, substitutions, exception work. Up to 75% of customer care time goes into quote-to-order administration rather than customer relationships.
Autonomous execution handles this work for you. The AI fabric reads incoming requests and makes the same micro-decisions a skilled CSR would, then executes them straight into your ERP. Your team moves from data entry to strategy. That's how you grow orders without proportionally growing headcount.
2. Respond to customers faster
Even though quote response time is very important in B2B, most teams take five days to respond to a quote request. Autonomous execution processes orders within seconds so that response that normally takes days happens immediately.
Nilfisk cut throughput time from 54 to 23 days. Aerospheres gained $234,000 in monthly revenue from faster quoting alone. Speed is a customer service advantage that wins business.
3. Handle the cases others miss
Rule-based automation works for straightforward orders. B2B is however full of exceptions: ambiguous requests, non-standard pricing, bespoke delivery addresses, customers who order slightly differently each time. Legacy automation can't always handle these and they sit idle in queues until someone steps in to manually resolve the issue.
GoAutonomous uses AI to work through these non-happy-path cases the same way your best CSR would. The platform reaches 85 to 90% autonomy on real-world orders.
That's what makes the difference and the platform automates everything from routine orders to complex exceptions.
