Autonomous system for A) Selection B) Pricing C) Real-time commission calculation of telecom products using Machine Learning and Big Data
AutoSPRice project of Neurocom created a fully automated and autonomous revenue and customer lifecycle value management system, which in both big-data batch and real-time conditions can provide the necessary recommendation price suggestions for sales channel. The prototype system is able to predict, using machine learning algorithms, how future telecom subscriber needs will evolve.
It enables sales channels to identify what is the right product that best meets a customer’s needs by using reinforcement learning. Combined with systems that can perform big data management and processing, it immediately provides responses out of large datasets.
Also, using exploration-exploitation algorithms, it identifies the price to achieve the best chance of being accepted while keeping sustainable revenue and profit for the provider. All results are visualized to improve the ability of sales to compare and evaluate their offers.