Connect Shopify to ChatGPT

Multi-Store Sales Health Scan

Using the Catchr MCP, pull Shopify data for [List of Client Stores] over [Recent Period] and compare it with [Baseline Period]. For each Store Name, report Total sales, Gross sales, Total net sales, Refund, Discount, Cost of Goods Sold, distinct Order Id count, Average Total Sales, Total New Customer, and Total Returning Customer. Evaluate movements against [Client Targets or Alert Thresholds], label every store Healthy, Watch, or Critical, rank the stores the consultant should review first, and give the measurable reason, likely area to investigate, and one specific next action for each Watch or Critical store.

Client Revenue and Channel Brief

Using the Catchr MCP, analyze Shopify performance for [Client Store Name/ID] over [Reporting Period] versus [Comparison Period]. Break down Total sales, Total net sales, distinct Order Id count, Average Total Sales, Refund, Discount, Total New Customer, and Total Returning Customer by Sales Channel, Marketing Source, Marketing Source Type, UTM source, UTM medium, and Order landing page. Identify the channels driving the largest gains and declines, distinguish revenue mix shifts from changes in order volume or average order value, and produce a client-ready brief with three wins, three risks, supporting values, and prioritized acquisition, retention, or merchandising actions without claiming causal attribution.

Cross-Client Product and Inventory Watchlist

Using the Catchr MCP, review product and inventory risk across [List of Client Stores] as of [Snapshot Date], using sales from [Sales Lookback Period]. For each store, compare Product Title, Variant Product Title, Product Variant SKU, Product Status, Inventory product quantity, Number of items of line, Line Total net sales, Cost of Goods Sold, and Refund. Apply [Low-Stock Threshold], [Minimum Sales Threshold], and [Refund-Risk Threshold] to flag fast-selling low-stock variants, active products with no inventory, overstocked slow sellers, and products with material refunds. Return a prioritized cross-client watchlist with the affected store and SKU, evidence, estimated urgency based on recent unit velocity, and the exact replenishment, merchandising, or client follow-up to take next.

Morning Shopify Client Priority Queue

Using the Catchr MCP, pull month-to-date Shopify results for [List of Client Stores] and compare each store with [Previous-Month-to-Date Period] and [Client Targets]. Summarize Total sales, Total net sales, distinct Order Id count, Average Total Sales, Cost of Goods Sold, Refund, Discount, Total New Customer, and Total Returning Customer for every Store Name. Quantify target pacing and material deterioration using [Alert Thresholds], rank the clients I should work on today, and for each flagged store provide the largest measurable driver, the first diagnostic cut to run, one recommended action, and a two-sentence client update in plain English.

Monthly Shopify Client Report

Using the Catchr MCP, create a client-ready Shopify report for [Client Store Name/ID] covering [Current Month] versus [Previous Month]. Report Total sales, Gross sales, Total net sales, Cost of Goods Sold, Discount, Refund, Total Shipping, distinct Order Id count, Average Total Sales, Total New Customer, and Total Returning Customer. Explain the largest changes by Product Title, Product Variant SKU, Sales Channel, Marketing Source, Customer returning, and Shipping country, then structure the output as executive summary, what worked, what declined, data-backed explanations, and three priorities for [Next Month]. Clearly label calculated metrics and unavailable values, and avoid unexplained technical jargon.

Discount and Refund Leakage Review

Using the Catchr MCP, audit commercial leakage for [Client Store Name/ID] over [Period] against [Comparison Period]. Analyze Discount, Line Discount, Refund, Return, Gross sales, Total net sales, Cost of Goods Sold, and distinct Order Id count by Order discount code, Product Title, Product Variant SKU, Sales Channel, Financial status, and Order fulfillment status. Apply [Materiality Thresholds] to identify discount codes or products associated with unusually low net sales, rising refunds, or weak estimated margin, state whether each finding is an anomaly or a recurring pattern, and give the freelancer a prioritized remediation list plus a concise client-ready explanation for every material issue.

Daily Sales and Margin Pulse

Using the Catchr MCP, pull Shopify data for [Store Name/ID] for [Today or Recent Period] and compare it with [Previous Comparable Period]. Report Total sales, Gross sales, Total net sales, Cost of Goods Sold, Discount, Refund, Return, Total Shipping, Total tax, distinct Order Id count, Number of items of line, and Average Total Sales. Calculate gross margin amount and rate from Total net sales and Cost of Goods Sold where the returned grain supports it, quantify the drivers of change, flag any metric outside [Business Thresholds], and finish with the three actions the e-commerce team should take today.

Customer Acquisition and Retention Mix

Using the Catchr MCP, analyze Shopify orders for [Store Name/ID] over [Period] versus [Comparison Period]. Segment Total sales, Total net sales, distinct Order Id count, and Average Total Sales by Customer returning, Marketing Source, Marketing Source Type, UTM source, UTM medium, UTM name, Sales Channel, and Order landing page; also report Total New Customer and Total Returning Customer. Show which sources and landing pages bring new versus returning customers, identify meaningful shifts in order volume, customer mix, and order value above [Minimum Order Threshold], and recommend three measurable acquisition or retention experiments with an owner, primary KPI, guardrail, and [Review Date].

SKU Demand and Stock Prioritizer

Using the Catchr MCP, evaluate product demand and current stock for [Store Name/ID] using [Sales Lookback Period] and inventory as of [Snapshot Date]. For each Product Title, Variant Product Title, and Product Variant SKU, report Inventory product quantity, Number of items of line, Line Gross sales, Line Total net sales, Cost of Goods Sold, Refund, Product Price, and Product Status. Calculate average daily units sold and estimated days of cover where the data supports those calculations, then classify SKUs as Reorder, Promote, Monitor, or Investigate using [Stock and Demand Thresholds]. Return the prioritized SKU list with evidence and a concrete replenishment, pricing, promotion, or product-quality action.

Order Financial Reconciliation Audit

Using the Catchr MCP, audit Shopify financial data for [Store Name/ID or All Connected Stores] over [Period] at Date and Order Id grain. Check completeness and uniqueness of Order Id, Order name, Order currency, Financial status, and Order created at; reconcile Gross sales, Discount, Refund, Total net sales, Total tax, Total Shipping, Duties, and Total sales within [Tolerance], while validating that Cost of Goods Sold is non-negative. Flag duplicate orders, missing identifiers or currencies, impossible values, reconciliation gaps, and fully paid orders with inconsistent financial status. Return an exception table with store, order, date, failed rule, observed values, severity, and the exact source-field or pipeline check to run next.

Commerce Entity and Privacy Quality Audit

Using the Catchr MCP, assess Shopify entity quality for [Store Name/ID or All Connected Stores] as of [Snapshot Date]. Check uniqueness, completeness, and relationship coverage across Customer Id, Order Id, Line Item ID, Product Id, Variant Product Id, Product Variant SKU, Store Id, and My Shopify Domain; validate that Customer Order Count, Customer Total Spend, Inventory product quantity, Product Price, and Number of items of line are non-negative. Flag orphan line items, missing or duplicated keys, SKUs mapped to conflicting variants, inconsistent store identifiers, and implausible customer aggregates. Aggregate the findings and mask or omit Customer email, customer names, addresses, and phone fields from the output; return rule-level failure counts, sample masked records, severity, and a remediation owner for each issue.

Attribution and Extraction Anomaly Monitor

Using the Catchr MCP, retrieve daily Shopify data for [Store Name/ID or All Connected Stores] over [Lookback Period, e.g., 90 days]. Monitor Total sales, Total net sales, distinct Order Id count, Total New Customer, Total Returning Customer, Refund, and Discount against a trailing [Baseline Window, e.g., 28 days], and track completeness of Marketing Source, Marketing Source Type, UTM source, UTM medium, Order landing page, Order referring site, Extracted Date, and Platform Name. Flag deviations beyond [Statistical and Business Thresholds], stale extractions beyond [Freshness SLA], and sudden attribution-null or source-mix changes. Localize each anomaly by store, date, source, channel, country, or product, classify it as likely pipeline, tracking, catalog, or genuine business change, and provide the evidence, confidence level, and next validation query.

Replace [variables] Facts ≠ hypotheses Action + follow-up metric

Connect Shopify to ChatGPT

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How to connect Shopify to ChatGPT ?

Authorize the Shopify account in Catchr

Add the Catchr MCP from official ChatGPT store

Choose, adapt, and run a prompt.

A simple client question should not trigger an hour of data prep.

Pull another CSV

Rebuild the context

Summarize it by hand

Ask the account. Get to the explanation.

Prepare data before every question.

Connect once. Keep asking.

Twelve Shopify prompts for analyzing real account data.

Shopify to ChatGPT FAQs

What Shopify data can ChatGPT analyze through Catchr?

Can ChatGPT analyze Shopify data by order, product, SKU, or sales channel?

Can ChatGPT identify Shopify margin, refund, and inventory risks?

Can I compare new and returning customers or acquisition sources?

What types of prompts work best for Shopify analysis?

Can I combine Shopify with advertising and analytics data in ChatGPT?

Can I analyze multiple Shopify stores in the same conversation?

What do I need to connect Shopify to ChatGPT with Catchr?

How recent is the Shopify data, and how much history can I analyze?

How should I handle customer data when analyzing Shopify in ChatGPT?

How much does it cost to connect marketing data to ChatGPT with Catchr?

‍Can I try the ChatGPT integration before choosing a plan?

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