B2B Ecommerce
Net Terms & Credit Questions: What AI Should Capture, and What It Must Never Approve
Net-30 requests and credit applications are the highest-liability questions on a wholesale desk. AI customer service for B2B & wholesale ecommerce should capture and route them — and never, ever approve them.
Net-terms support automation can explain an approved application process, collect permitted intake information, and route the request; it should not represent that credit was approved, set a limit, or promise a decision. Finance and qualified advisers should define the fields, notices, retention, and decision boundary for each market.
Decision framework for net terms support automation for B2B ecommerce
| Stage | What to verify | Control or pass condition |
|---|---|---|
| Process question | Answer from approved terms documentation | Do not imply eligibility |
| Application request | Send approved path and capture account context | Collect only permitted fields |
| Status request | Use the approved status source | Do not infer an outcome |
| Decision | Route to finance with an auditable record | Human or governed process communicates it |
Platform and regulatory scope should be checked against current primary documentation. The cited platform pages establish what their own products expose; they do not by themselves prove that every operation is enabled in a particular LumiTalk deployment. shopify b2b-catalogs · shopify b2b-features
Most of AI customer service for B2B & wholesale ecommerce is about speed. Net terms and credit are the exception — here the job is to be fast at capture and absolutely rigid at the boundary. 'Do you take net 30?' and 'we'd like to open a trade account' are among the most common questions a wholesale desk fields, and they're also the ones where a wrong answer creates a liability that a wrong WISMO answer never could.
Why credit is a hard line
Extending terms is a financial decision with downstream exposure — it belongs to finance, under your credit policy, with a real application on file. An automated system that 'approves' net-30 to move a conversation along isn't being helpful; it's writing a check your finance team didn't authorize. So the correct behavior isn't to answer the credit question. It's to capture it cleanly and route it.
The safe pattern
- Capture the request and the account it's tied to, in a real conversation, at any hour.
- Send your standard credit-application link so the buyer can start the process immediately.
- Route the request to finance with the account, the ask, and any context attached.
- Confirm to the buyer that it's with the team — without promising an outcome or a number.
- Never grant terms, never extend credit, never quote a limit.
See how Lumi routes a net-terms question to finance without ever approving it.
See Lumi for B2B & wholesaleThe gap this closes
The failure mode isn't an AI approving credit — a well-built one won't. It's the terms question that lands after hours with nobody to route it to, sits over a weekend, and gets beaten by a competitor who happened to have someone answer. By capturing the request the moment it arrives and putting it in front of finance with a head start, Lumi closes that gap while keeping the decision exactly where it belongs. It hedges toward the account you keep, not the one that quietly opened terms down the street.
Continue through the commerce content cluster
Use the parent hub, service page, related workflow guides, and the applicable integration page to continue the evaluation. B2B Ecommerce resource hub · LumiTalk for B2B Ecommerce · AI customer service for B2B ecommerce · AI quote management for B2B wholesale · bulk reorder automation for wholesale · applicable ecommerce integration
Quick answers
Frequently asked
Can AI approve net-30 or net-60 terms for a buyer?
It should not, and a well-built one won't. Extending credit is a finance decision under your credit policy. The correct behavior is to capture the request, send your credit-application link, and route it to finance with the account attached — never to grant terms or quote a limit.
What should AI do with a credit-application question?
Capture it in a real conversation, send your standard credit-application link so the buyer can start immediately, and route the request to your finance team with the account and context attached — confirming it's in progress without promising an outcome.
Isn't routing slower than just answering?
For a credit decision, routing is the answer — and it's far faster than the alternative, which is a terms question sitting unanswered after hours until a buyer opens terms with a competitor. Capture is instant; the decision stays with finance, where it has to be.
Does this keep our desk compliant?
It keeps the credit decision with the humans and the policy that own it, and it never handles card or bank details in a chat. Lumi captures and routes; it doesn't approve credit or touch payment data, which keeps the risky steps in the right hands.
What evidence should a net-terms automation retain?
Retain the approved script version, source of each captured fact, consent where applicable, handoff owner, timestamps, system result, corrections, and the final decision record outside the intake layer.
Your quote desk should answer every RFQ — day, night, and weekend.
Lumi is the AI quote desk for B2B & wholesale ecommerce: it verifies the trade account, captures every RFQ with quantities and SKUs, answers account pricing and terms from approved data, stages bulk reorders against order history, and pulls PO status — routing credit and special-pricing decisions to your team, and writing it all into Shopify B2B, NetSuite, or your ERP. It never quotes a final price without rep approval and never approves net terms. See how wholesalers put the desk on Lumi and stop losing the PO to whoever quoted first.
