T-Mobile improves customers’ buying experience using digital scenarios from Adastra

T-Mobile does not just provide mobile services; the company also has over 47 branded T-Mobile outlets all around the Czech Republic. In order to manage sales effectively, the company’s leadership need reliable data on which to base their decision-making on topics such as management, direction, and growing the efficiency of individual stores as well as the sales network as a whole. In the stores piloting technology from the Internet of Things (IoT), T-Mobile managers gain information about visit rates, customer demographics, and how interest in the goods on offer changes throughout the day and on the basis of ongoing marketing campaigns.

Adastra installed selected digital scenarios in three T-Mobile stores, using the IoT (Internet of Things) technologies that were deemed most fitting and best met the client’s needs. Initially, the project comprised pilot deployments of these scenarios, which are still being used today.

All the gathered data is stored on Adastra’s central analytics platform, which uses Microsoft Azure cloud services. T-Mobile’s store managers receive daily/weekly reports in the form of dashboards or charts created in Microsoft Power BI.

Thanks to Adastra’s IoT scenarios for retail, T-Mobile now works with real data about visit rates and customer demographics in the selected locations. Among themselves, the stores can compare and analyze customer interest in individual products and actual sales in connection with ongoing marketing campaigns.

• Improve the experience for existing and potential customers.
• Communicate with customers in a targeted, personalized and appealing way.
• Involve the customer in “communication” with an advertisement (through the interactive display).
• Make operations more effective in individual stores and across the whole sales network.
• Evaluate the effectiveness of marketing campaigns (has the store’s visit rate increased, has the appropriate target group come to the store, have sales of the promoted product increased?).
• Compare stores (do levels of interest in promoted products differ in stores in large/small towns, in standalone stores or in branches in shopping malls?).
• Customize store design, displayed products, or the number and disposition of sales and service assistants (e.g. by having more “serious”-looking assistants in branches frequented by the elderly, compared with those visited by younger generations, where there should be more shelves with products and accessories for “testing”).