Value your Store and Team

Value your store and team

Associating the staff shifts management with the demography tool it is possible to understand how to organize at best the available personnel, by evaluating past, present and forecasted trends of the store.


Optimizing personnels shifts allows to avoid wastes in working hours and to improve the general performances of the store.

 

How it works

The tools proposed by DataCream allow you to compare the measured metrics of the different moments of the day or week with the shifts of the staff, to help the retailer to plan and manage shifts, reward the best employees and identify best practices which can be transferred to other stores.

What can you achieve?

It is possible to get answers to questions like:

- How can I modify employees shifts to avoid unoccupied moments?
- How can I manage working peaks without introducing new labor force?
- Who are those employees who influence most the customers in their purchases?
- Are there any employees who easily increase the incomes (independently from the moment of the day or week)?

Customer's demography

If associated with the demography analysis system it allows to discover new Best Practices among employees, finding relationships between demographic factors and the presence of specific employees. This would allow the store manager to transfer similar practices to other employees or stores.

For the Chain

It is possible to compare the revenue from different stores and discover how the "super-performer" are able to sell more and better to extend the best practices to other stores.

ShopWindowEfficacyData export

All the analysis made in the system can be exported in the most common formats (e.g., Excel, CSV, etc.), allowing you to analyze them with your favorite tools and correlate them with other data available in your company.

LoaltyAndEngagement smallCustomers' Loyalty

If associated to the system for the loyaly analysis, it allows to spot best practices among employees, discovering the best employees and allowing the store manager to transfer the same practices to other employees or stores.

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Get In Touch

DataCream S.r.l.

Via Cavour, 2. 22074 - Lomazzo (CO)

Italy

Phone: +39 02 3671 4509

Email: info@datacream.com

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