Footwear Retail Chain ZENDEN Controls Prices with Computer Assistance

The main purpose of intelligent application ''Cifra Project: Repricing' developed for ZENDEN is to make the repricing process for the goods more intelligent and most productive to effectively and error-free calculate alternative variants setting the repricing parameters.

The new product 'Cifra Project: Repricing' is a system of high-speed automatic calculations developed to increase the efficiency of the decision making process for goods repricing in more than 250 stores of trade chain ZENDEN.

The new application is also a repricing digital model using ZENDEN’s algorithms and architecture developed by Cifra Project. The digital model makes it possible to control calculation rules and parameters to get alternative repricing variants. One calculation cycle takes around 10-15 minutes and uses tens of millions records on prices, sales rates and stock including a wide set of characteristics of sold goods and tens of targeted and limiting parameters of the goods life cycle.

Product 'Cifra Project: Repricing' is also a BI-system with its own data storage and an inbuilt high speed calculation engine which allows analyzing both current sales effectiveness and variants ‘what-if’ depending on set repricing parameters.

The opinion of Evgeny Shlyapin, director for IT innovations of ZENDEN Group: «Experience of Cifra Project specialists allowed developing simple tools for solving difficult tasks. With the new repricing tool we can timely make price decisions basing them on data and relevant analytical rules. This is beneficial for the company and useful for our clients.»

High performance of the Calculation system was achieved without introduction of changes in the accounting system of the company. For digital repricing model the Cifra Project architects created the high-speed data warehouse based on MS SQL Server with accounting registers optimized for solving the tasks of analyzing prices and the data transportation system which allows uploading data from the system of records online.

The architecture of the solution is unique for making calculations because it uses MS SQL Server Analysis Services Tabular Model as OLAP-server and especially as calculation engine with built-in formula and query language DAX. Such approach drastically lowered the cost of development and operation of the system and provided it with a very high speed and flexibility.
Built-in OLAP reports converts into single information flow both the data accessible from the accounting systems and calculated repricing variants. The repricing process itself is visible in the reports by stages.

According to Vyacheslav Nefedov, Head of Cifra Project: “The project of implementing repricing system for ZENDEN is unique from the viewpoint of achieving a maximum effect with minimal effort. No servers or software were purchased, with a minimal budget in one month we produced a system which allows more accurately control the demand and, correspondingly, sales of one of the largest retail companies in the country. The current repricing algorithm itself developed in ZENDEN is an evident competitive advantage for the client, and our system provides a good opportunity to improve the repricing logic further.”

The ZENDEN group is a Russian diversified multi-profile federal scale holding. The company controls a retail chain, modern trade centers, footwear production, agencies abroad and some social projects.

The Cifra Project company (http://cifraproject.com/en/) develops intelligent applications for decision making by machine and man. The team of experienced specialists models, develops and implements in enterprises highly productive expert systems with elements of artificial intellect. The solutions of Cifra Project are used to plan and optimize stock and logistics, analyze and plan marketing activities, plan and optimize production.

Cifra Project (Private Entrepreneur Nefedov Viacheslav Vladimirovich)
Address: 55-3 Moskovskoye shosse, apt. 134, Dolgoprudnyi, Moscow region, Russia, 141707
Presscontact: Alina Zennikova
azennikova@cifraproject.com.

This release was published on openPR.