The Autonomous Shopper
How It Works
Following customer route it provides verifiable and reproducible evidence.
Flow Configuration
We build the flows that matter the most:
Search → Product → Add to Cart
Cart → Shipping info → Checkout.
We use deterministic flows for reliability and speed. You just configure any customer path variation you would like Autonomous Shopper to follow.
Daily Runs
The shopper performs daily the journey like a buyer would, for both mobile and desktop devices.
We capture video, screenshots, friction points, HAR, console logs, timings, and a step-by-step trace.​
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Alerts with Evidence
If a step blocks or drags, you get an email and a report with the failing step, the likely cause, and links to the evidence, which directs your support team for fast resolution.
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Customer Journey Execution
Action Ready Reporting
Engineering depth. Dead-simple to reproduce.
Revenue Blockers & Issues Analysis
Detailed analysis of blockers or issues affecting in any major or minor way the customer path to checkout and conversion. Configuration details for easy reproduction.
Blockers & Issues Analysis
Performance Metrics
We show you which step is slow, with detailed timings in case your devs need them.
Artifacts & Evidence
User journey videos, screenshots, har files and console logs for deep dive and replay capability.
The Need
Why daily, even if you rarely deploy?
Catch revenue leak before your customers churn.
Third-party changes (payments, CMP/chat widgets, A/B tools) ship on their schedule.
Promo banners and content updates can obstruct CTAs on mobile.
CDN/caching and traffic spikes cause intermittent failures you won’t see in staging.
Shopify app conflicts creating feature malfunctions, visual glitches, and performance issues.
Why Choose Mirrora
Powerful Detectors, Fix Ready Results, non-Intrusive Setup
We focus on reliability and low false positives. If we can't reproduce an issue with evidence, we don't alert.
What It Catches
Blockers (stop the purchase)
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Dead or unresponsive clicks on Add to Cart / Checkout
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4xx/5xx errors on cart/checkout/payment endpoints
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Payment handoff stalls or never loads
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Overlays that fully cover critical CTAs
Performance regressions (quiet conversion drags)
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Page ready time drifting above thresholds and layout shifts (mobile & desktop)
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Elements interaction speed and per-step durations
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Excessive JavaScript errors or network failures
UX friction (evidence-based, high signal)
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Partially obstructed or too-small tap targets
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Reappearing cookie/chat overlays on key steps
Trust & Security
We run only with merchant consent and rate limiting
No customer Personal Identifiable Information collected
Never settle real payments
Evidence artifacts (video/HAR/console) stored securely and linked in alerts
You control which flows we exercise
No scripts installation
Choose Your Plan
Start free, upgrade later.
FAQ
Frequently Asked Questions
Everything you need to know about Autonomous Shopper
What is the Autonomous Shopper, in plain English?
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It’s a synthetic “buyer” that simulates a user that performs the basic purchase flows, identifying high friction or blocking points. This essentially protects your revenue by ensuring fewer lost orders.
How is this different from uptime monitors or session replay?
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Uptime/RUM tools check endpoints and collect analytics after users suffer. Autonomous Shopper executes the full buyer journey end-to-end and sends a one-pager with evidence you can forward to your dev team.
Do we need to install a script or SDK?
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No SDK, no script. We run with your consent, rate-limited. We do not apply any payment steps. No customer PII is retained and artifacts are stored securely and linked with alerts. You choose which flows we exercise
What types of issues can it catch beyond “site down”?​
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At the moment, detectors flag dead clicks, CTA visibility/obstructions, JS/network errors, time the page loads the largest part of it (LCP), response time after user input (INP), Cumulative Layout Shift (CLS) and sticky overlays/banners overlap—plus performance drift vs your own baseline. We continuously adding detectors to catch additional dimensions of UX and conversion friction.
What does setup look like?
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There is a setup form you have to complete. You select the flows and the devices (mobile + desktop) you would like to test, plus some additional information (e.g. variations you would like on the flows, time you would like the Autonomous Shopper to run daily, the email to receive reports and alerts). Then the Autonomous Shopper will start running daily after 24h, and you will start getting reports for each run.
How do you run checkout safely without charging real cards?
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We never settle real payments. We always stop at the pay step.
Who gets the most value—and who probably shouldn’t buy?
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Best fit: Shopify DTC brands ($30k–$300k/mo) and CRO/UX agencies—frequent changes, real revenue at risk, limited QA.
Lower fit: tiny shops with rare changes or teams already running robust synthetics daily.
Clear ROI: catching even one half-day checkout glitch typically outweighs a month of fees.
Who Are We
About Mirrora
Mirrora is a technology company that builds practical AI for evaluating user experience on e-shops, and protecting revenue on the pages that matter most.
We ship intelligent, evidence-first automation—powered by the latest technologies—so business owners and teams get fewer surprises and faster fixes.
Praxitelous 24, 35131, Lamia, Greece