Six portals, six exports
Every system brings its own metrics, its own periods and its own names for the same thing. Consolidation happens by hand and is out of date the next day.
One cockpit across every channel. And the warning before the numbers tip.
Today the figures sit in six portals and everyone pulls their own spreadsheet. The monitor brings them together, normalises them and turns them into views, warnings and prioritised proposals. Nothing is executed without approval.
Selling across several channels means collecting figures from several portals. By the time they form a picture the month is over and the decision can no longer be made, only explained.
Every system brings its own metrics, its own periods and its own names for the same thing. Consolidation happens by hand and is out of date the next day.
A channel suddenly delivers less, a fee changes, stock runs dry. Nothing fails, the numbers just get worse, and it is noticed in hindsight.
The insight emerges in a meeting, the task in a message, and two weeks later neither can be found.
The monitor is the operational data layer across every channel. It collects continuously, adds things up and speaks up by itself when something falls out of range.
Metrics, stock levels, prices, competitor offers and ad data come in on a schedule and are mapped onto one shared model. Only then does one channel become comparable with another, and only then does an overall view make sense at all.
On top of that run observers that do not wait for an error but for a deviation. If the volume of new entries collapses, if a field loses coverage, if a margin tips after a fee change, the result is a message in plain language rather than just a number.
Observation becomes proposal: price adjustment, reorder, ad action. Each proposal carries priority and reasoning and waits for a decision. Accepted proposals become tasks with an owner, so the insight does not end in a message.
The monitor weighs coverage against lead time and speaks up before the item runs out. With a reorder proposal, not a number somebody still has to interpret.
Margin per item is recalculated continuously. If it tips below the threshold, the price proposal is ready for approval, with competitor offers alongside for comparison.
Instead of guesswork the anomaly arrives with context: since when, how sharply, and which other metrics moved at the same time.
Marketplaces, shop, ad accounts and merchandise management are connected and come in on a schedule.
Different metrics and periods are brought onto one shared model. Only then is a comparison across channels sound.
Thresholds and reference values run alongside. Anomalies report themselves, as a sentence with context rather than a bare number.
Proposals are accepted, rejected or deferred. Accepted, they become a task with an owner.
Let us look at which anomalies your figures from the last three months would have shown.
Arrange a conversationRevenue, units, visibility and margin side by side instead of in six portals. Down to the individual variant if you want.
Coverage against lead time, slow movers, shortfalls, and discrepancies between ordered and delivered.
Your prices against competitor offers, with adjustment proposals inside the boundaries you set.
Volume collapses, coverage losses and unusual channel patterns. Every message a finished sentence with context.
Prioritised as now, this week, structural or purely informational. Nothing executes without a decision.
An accepted proposal becomes a task with an owner, a deadline and a history.
A digest by email, urgent messages by messenger or into the tool the team already uses.
Every metric is kept over time. That makes it possible to answer later what things looked like before the measure.
Recurring routines are captured in structure with the people responsible, so knowledge does not hang on one person.
Trigger, condition, action. For routine where case-by-case approval adds no insight.
Other tools reach metrics and proposals through a defined interface, with rate limiting.
Access only with a second factor, roles and permissions per area, a complete trail of executed runs.
Reorders come from coverage and lead time instead of experience. Fewer shortfalls at the top, less dead capital at the bottom.
Budget moves to where it carries, because channels become comparable. Drops surface within days, not in the quarterly report.
One set of figures for everyone. Discussions turn on decisions rather than on whose spreadsheet is right.
On the left the cockpit, where a deviation becomes visible while it happens. On the right the list, where the deviation turns into a decision. Both are the same workplace, not two separate tools. The tabs are switchable.
Metrics across every channel side by side, the threshold as a line in the trend, the anomaly marked exactly where the curve crosses it. The tabs are switchable.
Prioritised, every proposal with its reasoning. Accepted, it becomes a task with an owner and a deadline, instead of a message nobody finds again.
Abstracted representation with invented values. Which metrics, thresholds and priorities apply in your installation is something we define together.
The monitor sits beside the Customer Intelligence Hub. Both share platform, sign-in and operation, and both work on the same principle: observe and propose, people decide.
The monitor is built to be industry-neutral. It is most densely proven today in retail with several sales channels, because that is where the number of portals and the speed of change are greatest.
Revenue, margin and stock are among the most sensitive data a company holds. Which is why you decide where they live.
Operated in European data centres, with monitoring and updates during live operation. The fastest route to the first cockpit.
Sensible when merchandise management and costing stay in your own network while the evaluation across them runs together.
Entirely in your own network, on the Local AI Server if you wish. Evaluation by language models then stays in the building too.
“The biggest effect was not the dashboard, it was that the system speaks up on its own. We now react within days instead of on a monthly rhythm, and you can see it on exactly the items we make money with.”
Head of E-Commerce, Brand manufacturer with multichannel distribution
Tiered by connected channels and the scope of observation. Setup covers connection, normalisation, thresholds and onboarding the team.
| Package | For whom | Scope * | Setup * | Operation * |
|---|---|---|---|---|
| Starter | First overview | up to 3 channels · up to 5,000 item variants · hourly retrieval · metrics and warnings | from €6,900 | €199 / mo. |
| Business | Operational steering | up to 8 channels · up to 50,000 variants · anomaly detection · proposals · ticket system | from €14,900 | €399 / mo. |
| Pro | Multichannel at scale | unlimited channels · variants and retrieval interval by agreement · price proposals · agent interface | from €24,500 | €790 / mo. |
The strongest lever in the price. Every connection brings its own interfaces, limits and quirks. The channels of the package are included, each further one costs from €1,200 setup and €39 per month.
Item variants times channels times retrievals per day is the actual load. Hourly instead of daily multiplies the volume twenty-four times, which is why the interval is in the quotation and not in a footnote.
Twenty-four months of metric history are included. Anyone wanting to compare across several seasons books the extension at €49 per additional year and month.
Operation includes maintenance, updates, upkeep of the connections and a monthly quota for AI usage. Fees of the connected portals and server and hosting costs are billed separately.
* Guide values. Scope, volumes and prices are adapted to your actual needs in the quotation, because the number of channels, the data volume and the retrieval interval drive the effort.
All prices are net, plus statutory VAT.
No. It produces proposals with reasoning and waits for a decision. For narrowly defined recurring cases an automation can be set up, but that is a deliberate approval in the individual case and not the default.
Yes. The principle is channel-independent: collect metrics, make them comparable, report deviations. Marketplaces are the most densely proven case today because that is where the most systems run side by side.
Two are enough to see value, because comparing even two channels answers questions that were open before. The full value emerges when sales, stock and costs come together, because only then can margin be calculated soundly.
The run fails or delivers less, and both are noticed: an error is reported as an error, a silent volume drop as an anomaly. Adapting the connection is part of operation.
We connect two of your channels and run the observers over the history of recent months. After that you can see which anomalies you would have noticed earlier, and what that cost.