Askshelf vs exporting your store to ChatGPT

If you have a one-off question and don't mind a few minutes of exporting and checking, downloading a CSV from WooCommerce and asking ChatGPT, Claude or Gemini works fine, and you may already pay for one of them. If you ask questions every week, want today's numbers, or don't want order files with customer details sitting in a chat history, a built-in analyst like Askshelf is less work: it reads your store directly, uses WooCommerce's own definitions, and never sees customer names.

Both routes use an AI model. The difference is where the numbers come from and who does the arithmetic.

At a glance

How the export route works

1. In WordPress admin, open the report you need, for example Analytics › Revenue or Analytics › Products, and set the date range.
2. Click Download. Small tables download straight away; larger exports arrive by email.
3. Upload the CSV to your chat and ask your question.

It's flexible. A general chat can join two files, add a cost column you paste in, or answer a question no fixed tool was built for. For many owners that's the main appeal.

The catches with exporting

The data is as old as the file

An export is a snapshot. Ask "how are we doing this week?" on Thursday with Monday's file and you get Monday's answer. Every new question about a new period means a new export, and it's easy to forget which file is which after a few weeks.

Exports can carry personal data

Some WooCommerce exports include customer details. The Customers report, for example, lists names, emails and locations. Uploading those to a general AI chat puts them in that service's chat history, under whatever terms your account has. Policies differ by provider, plan and settings, so check your provider's own data policy rather than assuming.

The simple fix: delete columns you don't need before uploading. Questions about sales, products and coupons rarely need names or emails. There's more on this in is it safe to give AI your store data?.

The model can get the definitions wrong

A general chat doesn't know how WooCommerce defines its numbers unless you tell it. Common slips:

• Net vs gross vs total. In WooCommerce, net sales is gross sales minus returns and coupons, excluding tax and shipping. Total sales adds tax and shipping back. Ask "what was my revenue?" and a chat may sum whichever column looks biggest. The guide on net, gross and total sales explains the difference.
• Average order value. WooCommerce calculates it as net sales divided by orders. A chat might divide total sales instead, giving a higher figure.
• Refunds. Analytics counts refunds on the refund date, not the order date. A chat working from an order list may subtract them from the wrong month, or not at all.
• Order statuses. Analytics leaves out excluded statuses such as failed or cancelled orders (check your own settings). A raw order export may include them, and a chat will count them unless told not to.

The model can get the arithmetic wrong

Language models read tables well, but adding up hundreds of rows is a different skill, and an answer from a long file can be confidently off. Ask it to show the calculation, and compare any total with the matching Analytics report before you act on it. The guide on checking an AI's answers about your store has a short routine.

When the export route is perfectly fine

Exporting to a general chat is a good choice when:

• It's a one-off. A yearly review, a question for your accountant, a single "what happened in March?".
• The question needs data Askshelf can't reach. Profit after shipping, payment fees and ad spend, a question about named customers, sales by tag or region, or blending store data with other sources. Askshelf can't do these; a chat with the right files can.
• The file has no personal data, or you've removed it.
• You'll check the key numbers against WooCommerce Analytics.
• You already pay for a chat plan and ask only occasionally.

If that describes you, you don't need Askshelf.

Where Askshelf fits

Askshelf adds Analytics › Askshelf to WordPress admin. You type a question and get a short answer with the numbers behind it, a chart where one helps, and the lookups it made. The difference from a general chat is in how the numbers are produced:

• Fresh. Each answer reads your store when you ask. "Today's orders" is read live, without waiting for Analytics to catch up.
• WooCommerce's own definitions. It reads through WooCommerce Analytics, so it counts the same order statuses, takes refunds out the same way and uses your store's time zone. Net sales means what it means in your Revenue report.
• The math isn't done by the model. The lookups compute the figures; the model writes them up. You can copy the lookups and check them.
• No customer details. It never reads or sends names, emails, phone numbers or addresses, and declines questions about individual people. Questions containing an email address or phone number are refused in the browser.
• Less sent out. Only the question and the lookup results go to the AI model, through providers that don't store or train on data. Conversations are saved in your store's own database.
• Some answers without asking. A free store snapshot at the top of the Askshelf page and as a dashboard widget shows the last 7 days, stock running out and stock value with no AI involved, and an optional weekly email sends it every Monday.

The trade-off is range. Askshelf answers questions about sales, top products, stock runway, orders by channel, coupons, today's orders, gross profit, sales by category, country, weekday, hour or payment method, new vs returning customers, and dead stock. It can't answer questions about named customers, sales by tag or region, or produce exports, and its profit figure is gross profit that leaves out shipping costs and payment fees. It won't pretend otherwise. For those, the export route (or a dedicated reporting tool) is the right one.

What each costs

As of November 2026, the export route costs whatever your AI chat plan costs, or nothing on a free tier; see each provider's own pricing page. WooCommerce Analytics exports are free.

Askshelf is free for 10 questions a month, with paid plans for more. See pricing.

Using both

Many owners will do both: ask Askshelf the routine weekly questions (the Monday questions are a good list), and export to a general chat for the occasional deep question that needs shipping and fee costs, customer-level detail or other data. For a longer look at the trade-offs, see ChatGPT vs a built-in store analyst.