Can AI connect your ERP and online store? It can convert data first

You can start with the data. Give an AI assistant such as ChatGPT, Claude or Gemini the orders exported from your online store (Excel or CSV), your ERP's import template and your part number lookup table, and ask it to lay the orders out the way your ERP expects. In minutes you'll have a table you can paste into the import template. It can also compare stock figures between systems. It won't connect to your ERP or store directly, but the daily tidying that moves data between them gets much faster.

Many companies' systems were added one at a time. An ERP in use for over a decade sits at the core of operations, holding years of pricing methods and customer rules. The online store came later, accounting uses off-the-shelf software, and the warehouse has its own system. Each one is there for a good reason, and your team knows them well. This article isn't about replacing everything. First, prompts you can copy; then what to check, how your current systems can help, and how an integration layer can connect them one flow at a time when you want data to sync on its own.

Ask AI directly: 3 prompts to copy

Copy these and swap in your own system names, columns and dates (the ones below are examples).

Online store orders into your ERP's import format

Attached are three files: yesterday's orders exported from our online store (CSV), our ERP's order import template (Excel) and a lookup table from store product codes to ERP part numbers. Please lay out each order in the import template's column order, replace product codes with ERP part numbers, and change dates to the 2026/10/25 format. If a product code isn't in the lookup table, or an order is missing a quantity or amount, don't fill it in yourself: list those separately. Give me the result as a table I can paste into the import template.

Comparing figures between two systems

Attached are stock lists exported from our online store and from our ERP. Please match them by part number and list the items where the quantities differ, by how much, and any part numbers that appear on only one side.

Drawing a system map

We use these systems: an ERP for orders and stock, an online store for web orders, accounting software for invoices, and Excel in the warehouse for shipping. Below are the steps one web order goes through from purchase to payment. Please put them in a table: which system each step happens in, who does it, whether it's done by export and import or typed in by hand, and how often. Flag any place where the same data is entered more than once.

After AI converts the data, check these 3 things

1. Counts and totals: the converted table and the original export should have the same number of orders and the same total quantity and amount. Import a few rows first to make sure your ERP accepts them.
2. Were the codes converted correctly? A person fills in the part numbers and customer codes it couldn't find, and the lookup table gets updated whenever you add a product.
3. Rules it doesn't know: how your ERP calculates prices, special terms for certain customers, which system is the source of truth. Spell these out first.

Orders include customer names, phone numbers and addresses. Use your company's enterprise plan, or replace names with codes and delete columns you don't need this time before you upload.

Make it easier: your current systems and AI working together

1. Use the built-in export and import, with a fixed format

Check whether your online store's admin panel can export orders to Excel or CSV, and whether your ERP has an import function. If both can, you can replace order-by-order entry with a batch import. Use the same export settings every time, so AI gets the same columns and the results stay consistent.

2. Keep the lookup table with the import template

Put product code ↔ part number and store customer ↔ ERP customer code in one lookup table, in the same folder as your ERP import template. Attach it every time you ask AI to convert a file, and it converts every code the same way.

3. Decide which system "owns" each type of data

Which system is the source of truth for customer data? For prices? For stock? Write it down in a table and have everyone update data accordingly. Attach it when you ask AI to compare figures, so it knows which side to go by.

When to consider the next step

AI plus export and import can serve you for a long time. It's worth looking at the next step when:

• You export, upload, convert and import the same files every day.
• You want shipping and payment status back in the online store quickly so customers can check any time, or you're adding a channel, such as a second online store or a physical store.
• You'd like a customer portal, a sales tool or an AI assistant to read ERP data directly, with a record of every sync.

The next step: connect your systems with an integration layer, and AI can plug in too

The next step doesn't mean replacing your legacy system: it holds years of rules, many of them only in its code. A safer approach is to connect the systems first and keep the legacy system running. An integration layer (also called middleware) is a separate service that translates and passes data between systems; each system connects only to the layer, not to every other system.

An integration layer typically takes care of four things:

1. A unified interface (API): wrapping the old system's database, import/export files and vendor interfaces in consistent APIs.
2. Format conversion: the lookup table you've been attaching for AI becomes the conversion rules here.
3. Syncing on events: an order is placed in the online store → an order is created in the ERP and a pick list in the warehouse system; the warehouse ships the order → the store's shipping status is updated, the customer is notified and the invoice is issued (in Taiwan, an e-invoice through the government system); accounting receives payment → the receivable is cleared and the order's payment status is updated. A nightly batch sync is also a practical place to start.
4. Error handling and logging: if a system is temporarily unreachable, messages are queued and delivered once it recovers. Records that fail to sync or don't match go to a review list for a colleague to check before they're resent, and every sync is logged.

Once your systems are connected, AI can read ERP data through the same layer without any exporting or uploading (see our introduction to MCP). An AI assistant such as StudioX's Xena AI can start out read-only; before it changes any data, it always asks a person, and every step is logged. With a clear source and path for every record, reconciliation for wholesalers gets much simpler too.

Three ways to build the integration layer

In practice, a mix is common: connectors for standard flows (check your system's settings, or ask the vendor what's supported), a custom service for the legacy system and special processes, and shared logging and monitoring across every flow.

How to go live

Start with the data flow you handle most often and that takes the most time, such as getting online store orders into the ERP automatically. For a single flow like this, the first phase typically goes live in about 4–6 weeks. Keep your existing export and import running, compare the results, and switch over once the team is comfortable. After that, the system tracks failed syncs and their causes, latency and figure checks between systems on a schedule.

Replacing a system later: one phase at a time

If you decide to replace the legacy system one day, the integration layer lets you do it step by step, in what software teams call the strangler fig pattern: like a strangler fig growing around a host tree, the new system slowly wraps around the old one until the old one can be safely retired.

First wrap the old system in APIs and connect it, without changing it. Build new features in new systems that read and write its data through the integration layer. Then move one module at a time, say quoting first, then inventory, and accounting last, and switch back if something goes wrong. Once the old system is only used to look up historical data, it can be safely retired.

Whether you go all the way to the last step is up to you, at your own pace. Getting your legacy system talking properly with your other systems already helps a lot. To plan your integration, start with a free AI Health Check, or take a look at our integration services and custom business systems. You're also welcome to tell us about your current systems.