Player Activity Tracking App: Improving Athlete Performance with Machine Learning Powered Predictions
The client’s enterprise is providing business services via a digital platform positioned to further the sport of tennis by arranging a seamless interaction between companies, personnel and end-users.
The client was looking to engage a service provider with an unchallenged proficiency in multiplatform mobile app development, capable of sticking close with customer specifications to build a reliable solution for a fast roll-out. Softeq came on strong in the given areas showcasing solid mobile technologies expertise with a focus on complex multipurpose solutions that span a range of target markets.
The customer’s objective was to obtain a minimum viable product (MVP) smoothly running on iOS and Android in order to showcase the tool’s potential to the select key B2B customers.
Softeq’s team carried out full-cycle development of mobile software for the multiplatform app furnishing it with a nifty administrator control panel. The solution provides for advanced activity management and networking capabilities to the community of tennis players and coaches.
The features that the interactive tool offers are as follows:
The app supports user authentication along with the HTTPS-based secure communication.
The team employed a conventional Waterfall-based software development model enabling a sequential implementation of the project.
Softeq completed the development on budget, with all the delivery’s features functioning as expected. Impressed with the level of the provided services, the client assigned another scope of work to Softeq with a goal to extend the solution’s functionality. The app is now available for download on the App Store and Google Play.