The name of the base system (platform): | Data Sapience: CM Ocean |
Developers: | GlowByte, GlowByte (formerly Glowbyte Consulting, GlowByte Consulting) |
Branches: | Housing and communal services, services and household services, Power |
Technology: | Big Data |
Main article: Big Data
2023: Inclusion in the register of digital solutions in the direction of Big Data
The Digital power Association introduced the decision of GlowByte to optimize the collection of receivables (DP) in energy sales companies into the register of digital solutions in the direction of Big Data. The project was developed on the basis of the CM Ocean platform of the Russian vendor Data Sapience with a wide use of machine learning methods. Representatives of GlowByte announced this to TAdviser on October 12, 2023.
CM Ocean.Smart DZ allows you to select the optimal communication strategies with customers of a sales company, reduce the maturity of debt, and prevent the occurrence of debt on utility bills while reducing the company's costs of interacting with customers.
There are quite a few specifics in the energy sales industry. Unlike telecom or banks, there is no way to set tariffs, refuse customers. There is no mandatory identification before the provision of services. Thanks to the implementation of the Smart DP system, sales companies can even optimize their work with receivables in such limited conditions, reducing the cost of communication with customers and at the same time ensuring an increase in their efficiency for collecting DP. Most importantly, the use of such a system minimizes useless, inappropriate attempts to interact with customers, thereby increasing the level of their loyalty, "said Anton Zubkov, executive director of the Association. |
With the help of CM Ocean.Smart DP for each segment of customers, the sales company sets itself a separate goal and forms its own interaction methodology. For example, for the Pre-Collection category (usually debtors with a small debt both in terms of time and amount), it is important to prevent the client from moving to a more "heavy" segment, to develop and maintain payment discipline. For the Soft Collection segment, the task is also to prevent the transition to a more "heavy" segment, but there is a need to select the optimal communication strategy. This means that, based on the payment behavior of the client, his response to warnings about debt in certain channels and the amount of his debt, it is possible to predict for which client, through which channel, with what argument, at what point you need to remind about the debt. For debtors from the Hard Collection segment, it is important to both select the best way of communication and, in general, assess the likelihood of payments without going to court to minimize the cost of the DP collection process.
The uniqueness of CM Ocean.Smart DZ is its comprehensive approach to the task of collecting payments for housing and communal services. The system provides an extensive range of functionality for sales companies, "said Polina Okuneva, Head of Analytics and Modeling in Finance and Risk at GlowByte. - In addition to building customer segmentation, analytics and ML models to optimize communications, we also help with calculating business effects from the introduction of digitalization into the DP collection process. |
{{quote 'When the sales company is just implementing a specialized solution to optimize the DP collection processes, then usually she does not have very much data on customer behavior, their motivations, preferred communication channels, etc. The advantage of CM Ocean.Smart DP is that, that the system makes it possible to establish the accumulation of all data on customers and their payment behavior, Conduct rapid analysis, generate various hypotheses and implement them in the form of communication strategies, quickly collect feedback and iteratively improve strategies, gradually improving customer experience. The system becomes the intellectual center of a sales company and allows you to improve its key processes, "said Julius Goldberg, head of GlowByte. }}