Rosbank began managing the network using artificial intelligence

2022

Rosbank uses processed and structured data arrays to attract corporate clients in the small and medium-sized business segment.

To improve the efficiency of communication with target clients and promote banking products and services, Rosbank aggregates structured non-personalized information on the infrastructure of cities of presence, as well as data that help to assess the characteristics of target client flows and audiences in the SME segment.

On assignment bank the Russian analytical , [Marketing Logic], which specializes in analysis big data and to geoanalytics collects, structures and combines data on more than 150. Russian cities Public information about business, infrastructure, real estate transport and is supplemented by the data necessary for the bank to interact with potential customers. Data blocks also receive home-accurate geo-mapping to optimize the process of interacting with customers and personalizing financial the organization's offerings.

"We have been collecting, carefully structuring and storing data for more than 7 years, which we then use both to develop our own products and to transfer to our customers. We are already working with Rosbank in geoanalytics, where our Atlas GIS helps colleagues best manage the network. As part of the new project and strengthening our partnership, we are preparing data for other business units, because Rosbank was one of the first in the banking market to understand the importance of big data analytics and the introduction of such analytics into business processes. The bank is among the leaders in using complex, combined data blocks that help in a variety of areas of activity to rely on statistics and analysis, and not only on expert forecasts, which in this context only win exactly and complement each other, "- describes the details of cooperation, managing partner of the analytical company Marketing Logic Dmitry Galkin.

2018

In early 2018, Rosbank began using the location intelligence technology of the Atlas geo-information system to manage the network of branches. The product was developed by the analytical company Marketing Logic.

Location intelligence technology aggregates data on all branches and divisions of the bank, assesses the potential and load, calculates the effectiveness of potential offices based on data on the activity of customers, competing banks, population, traffic on the streets of the city and other statistical information. As a result, the bank has a "heat" card for each city of presence with an assessment of the potential for placing a branch at the level of walking (100 m) accessibility.

"With the help of high-tech products Marketing Logic, we solve the problems of opening and moving Rosbank branches. The use of advanced technologies allows you to maintain a high speed of development and use a scientific approach to increasing the efficiency of network management. With the help of geodata and predictive models, we manage to make decisions more accurately and faster, minimize errors, plan our actions taking into account the potential of the location of each point of sale, "said Vladimir Korobov, head of the development and efficiency department of the retail network of Rosbank.

"As part of updating the functionality of the Atlas system, we have improved the approach to building a forecast model in the direction of location intelligence. To improve the accuracy of the heat map, the model now combines 2 approaches: machine learning and expert rules for choosing good locations, which allows you to combine accumulated historical data and invaluable experience of experts - bank employees. Continuing cooperation with us since 2016, Rosbank confirms the importance of using modern spatial analysis methods and geodata to manage its own network of more than 350 branches, "commented Dmitry Galkin, Managing Partner of Marketing Logic.