B2B customer portal development for industrial manufacturers.
Your customers order by the truckload — through email, EDI, and the mailbox. We build the self-serve portal where they order, track, and pay online, with an AI assistant that answers from your real data. It runs in your cloud, on your SAP data.
Official services partner of the platforms defining AI
NVIDIA
Anthropic
No customer self service portal — every order still lands in the mailbox.
Your customers order by the truckload. But each order arrives as an email, an EDI message, or a phone call — and your people do the rest by hand.
Orders arrive by email, EDI, and the phone
A customer sends a spreadsheet or a PDF; someone on your side reads it, checks it, and types it into SAP. Every manual order is a delay and a typo waiting to happen — work automation should be doing.
“Where is my order?” is a phone call
Customers want to know where the truck is on the road. Today that answer sits in a system they cannot see, so they call or email — and your team stops what it is doing to look it up. An AI assistant could answer it from live data.
Every document goes out one at a time
Order confirmations, packing lists, invoices, price lists — requested by email, found in the ERP, attached, and sent by hand. Credit-limit questions take the same trip.
Claims live in an inbox thread
A short or damaged shipment arrives as photos in an email, then gets chased across sales, logistics, and finance. Nothing is tracked, nothing is visible to the customer, and every follow-up is another email.
Your buyers already expect better
The purchasing manager who emails you a PDF orders everything else online. On r/manufacturing they ask who has built a self-service portal for B2B — your customers are asking the same question.
What the mailbox costs — and what a B2B ordering portal pays back.
From a real scoping call with a global industrial manufacturer: what order-by-email looks like before the build.
From an anonymized scoping call — a global industrial manufacturer, SAP on-premise, customers ordering by the truckload
How our web portal development services run — three steps, in your cloud.
Everything is deployed in your own cloud project — GCP or Azure — with the LLM residing in your environment. Your IT team keeps governance; we build the portal and run it with you.
- 01
Connect your SAP and ERP data
We extract the data the portal needs — products, prices, customers, orders, invoices, credit limits, shipments — from SAP into a cloud data platform your IT owns. The SAP data extraction your architects already prototyped, hardened for production.
- 02
Build the self-serve portal
Your customers log in and do it themselves — online ordering, order confirmations and packing lists, delivery tracking, invoices and credit-limit visibility, claims. A transactional customer portal, so they avoid EDI and the mailbox and the routine work moves out of your inbox.
- 03
Add the AI assistant — not a chatbot
An iterative AI assistant that answers from their real data: where the order is, which invoice is open, what the claim status is. It is an AI agent we build and keep improving with you — not a FAQ widget bolted on at the end.
A distributor portal is not a dev-shop project. It is an operation.
Search for B2B portal development and you get dev shops: they quote a build, hand over code, and leave. Portal software vendors rent you their template and still expect you to integrate SAP. We are your AI operating partner — we build the portal in your cloud and run it with you after launch.
That is what makes the assistant different. A chatbot answers canned questions; an iterative AI answers from live order, invoice, and delivery data — and gets better every month because we stay. Your portal is not delivered; it is operated.
Not a chatbot, but an entire iterative AI.
Led by Peter Enestrom.
Asked by manufacturers before the first build.
Straight answers, before you book anything.
It is the part of the customer portal where buyers serve themselves: order confirmations, packing lists, invoices, price lists, and statements — generated automatically from your ERP data instead of located and emailed by your team. For most manufacturers it is the fastest win: the documents already exist in SAP; the portal just puts them where customers can pull them.
An alternative where EDI does not reach. Keep EDI for the handful of accounts that run it well; give everyone else the portal, so they can order and collaborate online and avoid EDI and the mailbox. Orders land in your ERP structured either way — and anything that still arrives as an email goes through AI order-entry automation, so nothing is re-keyed while the portal ramps.
Yes — that is the standard architecture. SAP data extraction pipelines move product, price, order, and invoice data into a cloud data platform — BigQuery on GCP, or the Azure equivalent — that your IT governs. The portal and the AI assistant read from that platform, so SAP stays the system of record and your team keeps control.
No — the buyer’s own words were “not a chatbot, but an entire iterative AI.” It answers from real data: where the truck is on the road, which invoices are open, what a claim’s status is. It is an AI agent we develop for your environment and keep improving after launch — the same build-and-run pattern as our AI agent development work.
In your own cloud project — GCP or Azure — with the LLM residing in your environment. You own the code, the data platform, and the model endpoints; your security team reviews it like any internal system. The design goal from the first call: secure and easy to maintain.
Yes — one manufacturer arrived with a 38-page spec and a working front-end mock-up, and we priced the build from it. Bring what you have: a spec, a mock-up, or just the mailbox problem. The first call ends with a realistic build plan — cost, timeline, and what ships first.
Start with one workflow.
Tell us where your team loses hours. We will come back with a straight answer on whether AI can help, what it would take, and what it would pay.