The most dynamically developing retailer in electronics market faced difficulties in training and retention of highly qualified personnel. New retail outlets opened more frequently than the seller training rate afforded. The company needed a tool that would allow an untrained specialist to navigate through a large and complex portfolio.
Sellers and buyers may be divided into 3 groups according to the level of training and knowledge in electronics: experts, advanced users and beginners. For an expert, an electronic assistant which advises on technical intricacies of electronics will be a provisional assistant. For other groups, the electronic assistant can become not only an informant, but also a real assistant in the choice of technology. Accordingly, when developing, we primarily focused on advanced users and beginners.
To develop a centralized system that will inform sellers and customers about availability of goods, their technical and other features. At the heart of the frontend solution there is a tablet application-assistant. Sellers can demonstrate selected products to the customers, showing their strengths and weaknesses, as well as choose the best suit.
200+ sellers serve 3000+ visitors across the country in 30+ Tehnoplus stores every day. More than a half of the contacts involve the electronic assistant. The database stores data about more than 1000000 products in 250+ product groups. Total operating time is 48 000 hours for all the tablets per month.
The implementation of such a huge project implies big risk of correct product choice and software settings. Fingers elaborated implementation regulations which reduced such risks to minimum. Due to this fact, the introduction took less time and the project saw the light very soon. Special attention was paid to simplification of the interface, the methodology and time needed to select a suitable product. Taking into account the "always rushing" customers, this operation should be done in a minimum number of clicks and actions. Thanks to a specially developed method of selection, it was possible to bring the time needed to search for an appropriate product to 3 seconds! We also managed to get rid of additional expenses on training by adding short and informative tips into the app.