Clear prioritiesfor timely decisions.
AI combines business data, identifies deviations and opportunities and sets out the recommended actions in order of priority. Management receives a concise summary in its preferred channel, in time to act.
Book a meetingThe challenges we solve.
Large volumes of data and limited time to analyse them
Issues identified only at period end
Demand peaks prepared too late
Scope of service.
Deliverables included in the service. The final scope is adjusted at the diagnostic meeting.
Integration of the business data sources
Alert rules on commercial and operational indicators
Periodic summary of priorities and recommended actions
Demand and requirements forecasts
Explanation of each recommendation and its supporting data
Periodic review of the criteria
How we work.
Connection.
Integration of the existing data sources.
Criteria.
Definition of the situations that warrant an alert.
Summary.
A concise list of priorities and actions.
Review.
Ongoing adjustment of the criteria for greater relevance.
Artificial intelligence applied where it creates efficiency or new customers: visibility in AI engines, intelligent process automation, decision support and customer experience.
Case in practice.
Manufacturing and distribution companies
Companies with demanding operations that wish to anticipate shortages, shifts in demand and commercial opportunities, rather than identifying them only at period end.
Frequently asked questions.
Where are the recommendations delivered?
By email, in a management dashboard or by message, according to the company's preference.
Does AI make decisions on behalf of management?
No. AI prepares the analysis and the recommendations, and the decision always rests with management.
Let's review
your case.
An initial meeting, with no commitment, to understand the starting point and assess how we can contribute.