Analytics dashboard
A retail group making decisions on reports that were days old.
analytics dashboard
year >
industry >
retail
problem >
Sales, marketing and operations data lived in separate systems, and reports arrived days late.
ERP, point of sale, advertising platforms and e-commerce each told part of the story. Putting them together was manual work, and by the time a report landed, the moment to act had passed.
what we did >
We connected every source into one warehouse and put a dashboard on top that answers questions in plain language.
Live KPIs for sales, marketing and stock, alerts when a number moves the wrong way, and answers straight from the data instead of a queue for the analyst.
result >
Reporting happens in real time, paid media margin is up and stockouts are down.
.
01
−35%
reporting time
.
02
−22%
stockouts
Questions
A company is AI-native when AI is part of how the product works and how the work gets done — not a feature added at the end. It changes what you build and how your team operates. We work that way ourselves, which is why we can tell you what it costs.
If you already know what to build, start with software. If you do not, start with consulting. Most companies start with a two-week assessment and move straight into a build.
One call. We look at your business, product and operations, then send a short written plan with scope, timeline and price. No questionnaire, no discovery deck.
An assessment takes two weeks. A first system usually runs in production within four to eight weeks. Larger programmes run as a monthly engagement.
Companies with a real operational or product problem — funded startups through to established mid-size companies. We are based in Portugal and work remotely across Europe.
