Operations watchdog for e-commerce brands and online sellers
A stockout on your best seller, a checkout throwing errors, a campaign spending without converting: online, every hour of incident is paid in lost revenue, often silently. The watchdog monitors the store continuously, nights and weekends included.
In your day-to-day
- 01
Alert when the conversion rate or order volume drops below normal for that hour and that day.
- 02
Detection of a stockout on a fast-moving item, or a broken product feed on a marketplace or Google Shopping.
- 03
Flagging a campaign overspending its budget or a conversion pixel that has stopped reporting.
A typical scenario
A store making 30% of its revenue on weekends — precisely the hours when nobody watches the back office or the ad account.
- 01
Saturday, 11 PM: conversion drops to half the normal for a Saturday night. The watchdog tests the checkout, identifies the payment provider throwing errors and alerts the on-call person with the diagnosis.
- 02
Sunday morning, the Google Shopping feed is rejected after a catalogue update: flagged before the campaigns run on empty all day.
- 03
Once payment is restored, it confirms the return to normal and logs the incident: duration, estimated lost revenue, cause.
What changes
Weekend incidents get handled on the weekend. Monday morning starts with reading a closed incident report — not with discovering the hole in the revenue.
Order of magnitude
Working assumptions
- →around €12k of revenue per weekend day
- →a checkout incident found on Monday = 36 hours of losses; found by the watchdog = about fifteen minutes
A single major incident avoided preserves in the order of €15–18k in sales — and detection time drops from some thirty hours to a few minutes.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
What eats your days
- →
Customer service drowns in WISMO and return requests — while marketplace messages wait under an imposed response deadline.
- →
A stockout or a broken checkout on Saturday night is discovered Monday morning, revenue gone.
- →
The B2B side — resellers, corporate orders, marketplace payouts — pays late, and nobody has time to chase between two sales peaks.
How it works
- 1
Continuous watch over your flows
Stock, orders, deliveries, payments, queues, systems: the watchdog reads your tools continuously and learns each flow’s normal behaviour.
- 2
Signal, not noise
A seasonal variation is not an anomaly. The watchdog qualifies each gap — normal, watch, incident — and only alerts when action is useful. That triage is what keeps alerts trusted.
- 3
The right person, with context
The alert reaches the person who can act, with the diagnosis: what, since when, how big, and first leads. Escalation is automatic if nobody acknowledges.
Typical results
4 min
from anomaly to alert, observed in production
24/7
watching, nights and weekends included
÷10
alert volume, thanks to signal/noise triage
Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.
Frequently asked questions
How does it know a drop in orders is abnormal on a Sunday?+
It learns your store’s seasonality — hours, days, running campaigns — and qualifies each gap against that specific normal. A Sunday-morning dip alerts nobody; the same dip on Monday at 11 AM does.
Can it act — for example, pause a campaign?+
It starts by alerting. For recurring cases with a known fix — capping a campaign, hiding an out-of-stock item — you can authorise it to act, case by case and fully logged.
Is this the problem eating your team’s time?
Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.
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