E-commerce analytics solution

Understand what is really driving e-commerce growth

Bring transaction, product, customer, and marketing exports into one analytical workflow. Separate changes in revenue from order volume, pricing, product mix, retention, and acquisition efficiency.

Analyze e-commerce dataFree to start · No credit card required
  • Product and category performance
  • Customer and retention analysis
  • Revenue and margin reporting

Why it matters

Move from storefront metrics to profitable growth questions

Top-line revenue alone cannot show whether growth is healthy. Orders may rise while margin falls, or acquisition may expand while repeat purchasing weakens. A combined analysis makes these tradeoffs visible.

Upload aligned exports or begin with a transaction file. Explore a question, then turn the validated result into a dashboard or business review for commercial and operating teams.

Capabilities

What you can do with AI E-commerce Analytics

Commerce performance

Analyze revenue, orders, units, average order value, discounts, and margin.

Product mix

Rank products and categories and explain changes in contribution.

Customer behavior

Explore repeat purchasing, cohorts, segments, and value concentration.

Channel quality

Compare acquisition sources using both volume and downstream outcomes.

How it works

Go from source data to a useful result in three steps

  1. 1

    Add transaction data

    Upload order-level data with dates, products, value, and customer identifiers.

  2. 2

    Add business context

    Specify margin definitions, channel attribution, and the decisions being considered.

  3. 3

    Explore and report

    Validate findings and create a dashboard or performance report.

Common use cases

Built around real reporting work

Merchandising review

Identify growing products, declining categories, and mix-driven margin changes.

Customer retention

Compare new and returning customers and analyze repeat behavior.

Channel investment

Assess whether acquisition sources produce valuable customers, not just orders.

Example prompts

Try a request like this

“Explain revenue growth using orders, average order value, and product mix.”
“Compare new and returning customer performance by month.”
“Find products with growing sales but declining margin.”

Frequently asked questions

Questions about AI E-commerce Analytics

Can I analyze marketplace exports?+

Yes. Standardize date, currency, product, order status, and refund fields before combining sources.

Can it calculate repeat purchase behavior?+

Yes, when stable customer identifiers and transaction dates are present.

Can the analysis include profitability?+

Yes. Include cost, discounts, refunds, fees, and revenue at a suitable level.

Can I produce an executive report?+

Yes. Generate a report after validating the main commerce and customer findings.

Continue your data workflow

Online CSV analysis

AI CSV Analyzer

Upload and analyze CSV data with AI. Ask questions, calculate metrics, identify trends, and create charts or reports without writing code.

AI dashboard builder

AI Dashboard Generator

Upload Excel or CSV data and generate an interactive AI dashboard with KPI cards, charts, filters, and written insights. Start free with ExcelDashboard AI.

Excel report generator

Excel Report Generator

Create automated reports from Excel data with charts, KPI analysis, written insights, and editable PowerPoint, Word, and Excel deliverables.

Start with your own data

Upload a spreadsheet or describe the result you need. Build the first useful draft with AI, then review and refine it.

Analyze e-commerce data