BI - Business Intelligence
Retail Manager BI is prepared to process and infer about a long and complex series of data coming from the inherent tasks of the retail world from which one can indicate for example the following:
Analysis axes
Customer;
Store;
Article (8 KPIs);
Sales rep.
Analysis
Sales in value;
Quantity of articles;
Quantity of tickets;
Average price per article;
Average ticket.
Generic filters
Organic/Inorganic.
Period
Year, trimester, month, day;
Day of the week, hour.
The Retail Manager BI also presents a useful variety of dashboards, for involving some of the important retail dimensions:
General
Ranking Top 10, Sales, 3 periods sales;
Customers
Characterization: socio-demographic, group/class;
Indices: returning customers, customers on file, % loyalty;
Transactions: sales (raw, net, discounts, returns), article quantity, ticket quantity, average ticket, average price, tickets with discount, average discount in % and value.
Stores
Characterization: company, concept, region, supervision, village;
Indices: transformation rate;
Sales analysis: square meter, cost, full time equivalent, opening hours;
Transactions.
Articles
Characterization: brand, family, reference;
Indices: stock rotation, discounts, etc.;
Transactions.
Sales representatives
