BI - Business Intelligence
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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:

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Analysis axes

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Customer;

Store;

Article (8 KPIs);

Sales rep.

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Analysis

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Sales in value;

Quantity of articles;

Quantity of tickets;

Average price per article;

Average ticket.

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Generic filters

 

Organic/Inorganic.

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Period

 

Year, trimester, month, day;

Day of the week, hour.

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The Retail Manager BI also presents a useful variety of dashboards, for involving some of the important retail dimensions:

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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