Does it work with multiple Shopify stores?

Yes. Doe can connect to multiple Shopify stores and cross-reference them. Each store gets its own anomaly baselines, and the report clearly separates findings by store so you know exactly where the issue is.

Can it detect payment fraud?

Doe flags unusual payment patterns (chargeback spikes, geographic mismatches, velocity anomalies) that may indicate fraud. It is a pattern-recognition layer on top of Stripe's built-in fraud detection, not a replacement. Use both together.

Does it recommend specific actions or just report problems?

Every anomaly comes with a recommended action. A stockout gets a restock recommendation with the affected SKU. A payment failure pattern gets a suggestion to review Stripe settings. A refund cluster gets a link to the product page and a note to investigate quality or listing issues.

What about WooCommerce or other e-commerce platforms?

Doe currently integrates most deeply with Shopify and Stripe. WooCommerce support is on the roadmap. In the meantime, if your WooCommerce store uses Stripe for payments, Doe can still analyze the payment side of the equation.

Know WHY revenue changed, not only that it did

Each morning, Shopify order volume and inventory levels are compared against Stripe payment logs. Statistical deviations trigger a root-cause investigation, and a report with severity ratings and specific fixes lands in Slack before standup.

Automate E-commerce Anomaly Investigator or talk to sales

Daily cross-referencing of Shopify and Stripe data surfaces revenue anomalies, traces root causes, and delivers investigation reports with recommended actions before your team starts their day.

What changes

Dimension	Before	With Doe
Time to diagnose	2-3 hours of cross-referencing Shopify and Stripe	Root cause report delivered by 7 AM with specific actions
Root cause accuracy	Guesswork until someone checks every possible cause	Data-backed diagnosis correlating inventory, payments, and conversion data
Stockout prevention	Noticed after sales already dropped	Flagged when inventory hits critical levels, before revenue impact compounds
Payment issue detection	Discovered days later in Stripe reports	Failed payment patterns identified within 24 hours

How Doe investigates e-commerce anomalies

Pulls order volume, revenue by product, and inventory levels for the past 24 hours

Shopify

Sales, stock counts, and conversion rates collected across all active listings

Pulls charges, failures, and disputes for the same period

Stripe

14 failed payments, 3 disputed charges, and a 40% spike in declines on one payment method

Flags anomalies by comparing against historical baselines

Three anomalies flagged: a 23% revenue dip in one product category, a refund cluster on a specific SKU, and a conversion rate drop on mobile checkout

Investigates each anomaly and traces the root cause

Revenue dip traced to a stockout on the #2 best-seller at 2 PM yesterday. Refund cluster linked to a sizing issue. Mobile drop correlated with a Stripe 3D Secure rule change.

Delivers the investigation report with recommended fixes to your team

Slack

Root causes, severity ratings, and specific actions posted: restock SKU-4421, add sizing guidance to the product page, review Stripe 3DS settings

Runs Every day at 7:00 AM · Report delivered to Slack, only when anomalies are detected

The dashboard is red but nobody knows why

Revenue dropped 18% yesterday on your Shopify dashboard. Is it a payment processing issue? A stockout on your best-selling SKU? A pricing page that broke after the last deploy? A refund cluster from a bad batch? You don't know, and finding out means opening Shopify admin, cross-referencing order data with Stripe's payment logs, checking inventory levels, and reviewing product page analytics, all in separate tabs with different time formats.

The investigation takes 2-3 hours across two platforms, and the answer is usually something painfully obvious in hindsight: a popular variant went out of stock, or Stripe's fraud filter started declining legitimate cards after a rule change. By the time you figure it out, you've lost a full day of sales and your team has been running on anxiety instead of answers.

Get started in under 10 minutes

Connect your tools

One-click OAuth for each integration. No API keys, no engineering.

Describe what you need

“Monitor our Shopify store daily for revenue, conversion rate, and refund volume. If revenue drops below $5K, refunds spike above 3%, or conversion dips under 1.5%, investigate and send a root-cause summary to #ecommerce.”

It runs on schedule

Monitors daily and delivers an investigation report to your channel only when anomalies are detected.

E-commerce Anomaly Investigator FAQ

Doe establishes baselines from your historical data and flags statistically significant deviations: revenue drops beyond normal variance, refund rates above your average, payment failure spikes, sudden conversion rate changes, and inventory stockouts on high-volume products. You can adjust sensitivity thresholds during setup.

Related workflows

Marketing

Attribution & CAC by Channel