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The retail sector is characterized by a tremendous volume of operations (although single transactions are small in size), a large number of clients, a wide range of products and more often than not by the distributed storage of data. The intense competition forces companies to improve the quality of service, reduce costs, increase customer loyalty and quickly respond to competitors' activities.
The solutions based on Loginom allow a unified and consistent picture of the enterprise's operation to be obtained, which is necessary for making decisions. In addition, they help to find regular patterns in huge amounts of data, analyze trends and optimize the work of the retail network. The main features of Loginom are as follows:
- Data consolidation. Loginom contains a data warehouse which can be used for consolidating the information from geographically distributed units and for enriching the user’s system with information from multiple data sources, both internal and external. The powerful integration mechanisms make it possible to receive data from virtually any source, such as office applications and ERP systems.
- Analytics. Dozens of data visualization methods are supported, including tables, charts, diagrams, maps, a built-in powerful OLAP module, etc. The user can generate any analytical report with just a few mouse-clicks and without the help of IT experts.
- Forecasting and merchandise optimization. Loginom implements the most advanced self-training algorithms, and statistical, econometric and expert forecasting mechanisms. These allow adaptive models to be built, automatically finding seasonal fluctuations and trends, taking into account the influence of numerous external factors. With a good forecast it is possible to solve the problems of merchandise optimization and turnover increase.
- Loyalty management. Deep analysis methods can help in understanding the specifics of the clients’ consumption and their attitude towards marketing programs, and can assist in identifying target groups. It makes the creation of efficient loyalty management programs possible. This does not simply mean offering discounts, but it makes allowances for the specifics of every customer group and offers them exactly what they need.
- Demand stimulation.The market basket analysis facilitates finding the best selling combinations of goods and offering exactly those that appeal most to the buyers. It also ensures correct merchandise placement, and helps with organizing cross-sales and discount systems.
Loginom can also be used for solving other problems of great importance for the retail companies: effectiveness calculation, budgeting, plan/actual analysis, demand elasticity analysis, client base segmentation, cleansing of data consolidated from different sources, and performance evaluation of marketing activities.


