B2B Ecommerce
How One Wholesale Distributor Stopped Losing the PO to Whoever Quoted First
An illustrative composite of a regional distributor putting AI customer service for B2B & wholesale ecommerce on the quote desk — what changed in the RFQ queue, the reorders, and the reps' week.
This page is a disclosed composite worked example, not a named customer case study. Use it to build a pilot model: replace its directional inputs with your own RFQ volume, coverage window, staffing, completion rate, and downstream quote outcomes, then preserve the baseline and measurement source.
Decision framework for B2B ecommerce support worked example
| Stage | What to verify | Control or pass condition |
|---|---|---|
| Baseline | RFQs and reorders by channel and hour | Use exported operational data |
| Intervention | Document scripts, routing, coverage, and systems | Version every material change |
| Outcome | Complete requests and downstream quote disposition | Separate correlation from attribution |
| Quality | Corrections, escalations, failures, and complaints | Review alongside speed |
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
This is a composite, and we'll say so plainly: the distributor below is assembled from the patterns we see when AI customer service for B2B & wholesale ecommerce goes onto a quote desk, not a single named customer with audited numbers. We're writing it this way on purpose — the shape of the change is real and repeatable even before we can attach a logo to it. Treat the figures as directional.
The before
Picture a regional distributor running Shopify B2B and NetSuite, taking on the order of 120 RFQs and reorders a day across phone, email, and their web form. The desk closed at five. RFQs that arrived after hours aged in a shared inbox until morning, by which point a competitor had often already quoted. Standing accounts that wanted to reorder waited on the one rep who knew them. And the occasional 'do you take net 30' landed at 7 PM with nobody to route it to.
What changed
With Lumi on the desk, the pattern shifts in a few predictable ways. RFQs get captured in full — quantities, SKUs, ship-to, account tier — and routed to the right rep in minutes, day or night, so the rep quotes first thing instead of reconstructing a voicemail. Reorders get read from order history and staged in a single message. Terms questions get captured, sent the credit-application link, and routed to finance. None of it involves the AI inventing a price or approving credit.
| On the desk | Before | After (directional) |
|---|---|---|
| RFQ first response | Next morning, if not lost | Minutes — captured and routed 24/7 |
| After-hours RFQs | Aged in a shared inbox | Captured and waiting for the rep |
| Bulk reorders | Waited on a busy rep, re-keyed | Staged from order history in one message |
| Net-terms questions | Often unanswered after hours | Routed to finance with the account attached |
| Final pricing & credit | Rep / finance | Still rep / finance — unchanged |
See the quote desk this case study describes, running live.
See Lumi for B2B & wholesaleThe honest caveats
A few things worth stating outright. The gains concentrate where the desk was leakiest — after-hours and weekend RFQs, and reorders stuck behind a busy rep. A desk that already staffs quotes around the clock will see a smaller delta. And the guardrails don't move: the AI still doesn't quote final pricing without rep approval or approve net terms. What it changes is response speed and capture, and in wholesale that's usually enough to stop handing the PO to whoever answered first. Run it on your own RFQ volume before you believe any number here.
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 for wholesale ecommerce · AI quote management for B2B wholesale · bulk reorder automation for wholesale · applicable ecommerce integration
Quick answers
Frequently asked
Is this a real, named customer?
No — it's an illustrative composite assembled from the patterns we see when AI customer service for B2B & wholesale ecommerce goes onto a quote desk. The figures are directional and honest about that until our first public B2B ecommerce case study lands.
Where do the gains actually come from?
Mostly from closing the response gap: after-hours and weekend RFQs captured and routed instead of aging in an inbox, and reorders staged from history instead of waiting on a busy rep. A desk already staffed around the clock will see a smaller change.
Does the AI change who sets pricing or grants credit?
No. Final pricing still requires rep approval and credit decisions still go to finance — that's unchanged. What changes is how fast RFQs, reorders, and status questions get captured and routed.
How do I know it'll work for my desk?
Run it on your own numbers. The composite is directional; the honest test is your RFQ volume, your after-hours share, and your average order value in the calculator on the B2B page.
How can a team turn this composite into a real case study?
Use a consenting customer, documented baseline, fixed period, sample definition, source-system exports, intervention log, limitations, named approver, and outcome calculations that another reviewer can reproduce.
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.
