Commerce Data & AI CheckClarify the next steps for your commerce data
We review your data landscape and assess opportunities for better operational management and AI. You receive a data map and prioritised starting initiatives.
What opportunities are hidden in our commerce data, systems and processes?
Commerce Data & AI Check shows where data from shops, marketplaces, inventory and accounting holds untapped potential for analytics, AI-assisted analysis, forecasting or automation. For McFilter, we used just such scattered sources to create a shared data foundation for margins, purchasing and order planning. No new data was needed: it already existed, but in separate places. The check is a compact way to find out whether a similar approach is worthwhile for you.
What changes afterwards
A data landscape map shows gaps and manual handovers.
Opportunities are assessed by value, feasibility and effort.
You know which opportunities call for analytics, AI or process automation.
Starting initiatives are prioritised with a recommended next step.
Typical questions
Our data is spread across five systems, and no one has the full picture.
We calculate margins and channel profitability in Excel.
We have plenty of AI ideas, but can our data support them?
When Commerce Data & AI Check fits
A good fit when
Less suitable when
The approach at a glance
Map the landscape
Understand data flows
Prioritise opportunities
Results and your contribution
What you receive
Not included
Your contribution
We need access to the relevant systems and a meeting with the people who work with the data today.
You do not need to prepare the data.
When AI offers the greatest value
Explore AI & automation