Multi-Channel Order Aggregator: One Clean Order Queue From Every Channel
Import order exports from web, marketplaces, email, and phone, normalize them to one schema, dedupe across channels, and produce a single approved order batch — with a reviewer signing off before anything is committed.
A web tool where you import each channel's order export, AI normalizes every order to one schema, maps channel SKUs to your internal SKUs, dedupes across channels by channel + order ID, a reviewer approves the consolidated batch, and the tool exports one unified order CSV in the exact columns your fulfillment system expects.
Before you start
- A Supabase account (free)
- A Vercel account (free)
- A Resend account (free)
- A per-channel order export CSV from each sales channel
- Your SKU master (channel SKU to internal SKU mapping)
- Claude Code or any AI coding agent
The problem this kills
Your orders come from everywhere. The webstore drops a CSV. Amazon and the other marketplaces each have their own export with their own column names. Some orders arrive as a forwarded email, and a few still come in over the phone and get typed into a spreadsheet. Every channel calls the same thing something different — one says "SKU," another says "ASIN" or "item-code," a third uses the customer's part number — and every channel formats names, addresses, dates, and totals its own way.
So someone on your team spends the first hour of every day playing human ETL: open five exports, copy-paste into one master sheet, hand-map SKUs, hunt for the order that came in on both the webstore and the marketplace so you don't ship it twice, and only then hand a "clean" batch to fulfillment. It's slow, it's error-prone, and the day a duplicate slips through or a SKU maps wrong, it costs you a shipment. You don't need to live in that spreadsheet, and you don't need to be a developer to replace it.
What you'll build
A simple internal web tool. You import each channel's order export CSV and your SKU master (the table that says "this channel's item code equals this internal SKU"). The tool normalizes every order into one common schema — same field names, same date format, same address shape, same line-item structure — regardless of which channel it came from. It maps every channel SKU to your internal SKU and flags any it can't match. It dedupes across channels using a stable key (channel + the channel's order ID) so re-importing the same export is safe, and it surfaces likely cross-channel duplicates for a human to judge. It shows your reviewer a single consolidated order batch: every order in one queue, normalized and SKU-matched, with unmatched SKUs and suspected duplicates flagged. The reviewer fixes flags and clicks Approve. Only then does the tool produce one unified order CSV in the exact column layout your fulfillment system, WMS, or ERP expects.
What's inside the Implementation Plan
The downloadable plan is a step-by-step file you paste into an AI coding agent. It opens by interviewing you about your business — which channels you sell on, exactly what each channel's export columns are named, how each channel identifies a SKU and an order, your typical and peak daily order volumes, how you decide two orders are really the same, and the messy edge cases (split shipments, cancellations, partial refunds, gift orders) — and then it tailors the data model, the SKU mapping, the dedupe rule, and every later step to your answers. This is not a generic template; the agent reflects a short spec back to you and waits for your thumbs-up before it builds anything. From there it walks the agent through the per-channel import, the normalization engine, the SKU mapping, the cross-channel dedupe, the reviewer approve screen, and the unified CSV export — each step with a ready-to-copy prompt. There's also a fallback so you can build the whole thing today with nothing but CSV in and CSV out, even with no API to a single one of your channels.
The governance it includes (this is the point)
This is the queue your warehouse fulfills from, so it ships with the controls an ops team needs: login so only your team can use it, row-level security so you only ever see your own organization's orders, a complete audit trail of who imported, edited, approved, and exported which batch and when, a hard human-approval gate so no unified order file is produced until your reviewer signs off, and duplicate guards keyed on channel + channel order ID so the same order can never enter the batch — or be exported — twice. Unmatched SKUs and suspected cross-channel duplicates are flagged and block approval instead of silently shipping a bad order.
Who it's for
Order-entry teams, ecommerce ops, and CSRs who start every morning reconciling order exports across channels by hand. If you can describe where your orders come from and how you decide two of them are the same, you can build this.
You've got this — start with the plan, paste the first prompt, answer the interview, and you'll watch your five-channel mess collapse into one clean queue the same afternoon.