Russian Book Retailer Top-Kniga Choosed Oracle Retail Applications to Improve Inventory Management and Enhance Customer Service
September 23, 2007 by Mark Marucot
Top-Kniga, a leading retailer and wholesaler in the Russian book market, chooses Oracle Retail Merchandising System, Oracle Retail Demand Forecasting and Oracle Retail Data Warehousing to help increase sales, performance and levels of customer service.
Top-Kniga expects the Oracle Retail platform to help improve forecasting capabilities, automate stock replenishment and provide management with valuable real-time data and analytics aimed at increasing inventory turnover and profitability, particular among its wholesale customers. According to Georgy Lyamin, general director of Top-Kniga:
We expect the Oracle Retail applications will improve the analysis of customer demand, the forecasting process and streamline the process of stock replenishment along the whole supply chain, from the suppliers to warehouses and stores. We anticipate this will result in long-term competitive advantages for our company, increasing both customer numbers and loyalty. We expect to see the first results at the beginning of autumn 2007
Top-Kniga is an existing Oracle Enterprise Planning and Budgeting and JD Edwards EnterpriseOne customer. They understood the value of a phased implementation path and simplifying the integration process to achieve a rapid return on investment.
Based from my experience as an Oracle Retail Applications Technical Lead for various retailers(btw, I’m not part of Top-Kniga), the Replenishment function of Oracle Retail Merchandising System relies on the predictive application to fully use it’s capability. Replenishment is the ability to maintain the quantity of items stored in warehouses and stores. This feature will create automatic orders for items below the specified quantity. The Oracle Retail Merchandising System itself has it’s own predictive functionality but with the implementation of Oracle Retail Demand Forecasting, it will provide Oracle Retail Merchandising System a better performance in predicting the amount of items needed to be ordered. The power of Oracle Retail Demand Forecasting will come if the collected historical sales data is at least one-year because the sales record will cover the whole year holiday, special events and normal daily sales. I would say that a whole three years of historical data will accurately predict the demands on the items for sale.
Oracle Retail Data Warehousing will provide reporting capabilities that will help the business in their planning for their company.
Source:[Oracle]
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