Modeling is the key to effective decision making The system selects the most appropriate forecasting method for each product group or category and applies the best replenishment and distribution algorithms. SCM solution is also capable of optimizing the available stock and efficiently distributing it among all stores, for example, in order to effectively complete a promo or minimize negative impacts on the supply chain performance. Retailers achieve high performance due to the available wide range of capabilities and algorithms powered by AI / ML models: automatic selection of forecast methods and their parameters, selection of replenishment methods, calculation of a quality order, evaluation and simulation of promo. Retano SCM implementation allows to decrease the OOS rate up to 90%, maximize the product availability, reduce labor costs for manual operations, and as a result lets focus on strategic business goals. How Retano SCM helps to improve supply chain KPIs The solution improves the supply chain KPIs and helps to make informed decisions by means of AI/ML models.

After analyzing the market and studying the possibilities of similar systems, the company chose Retano SCM demand forecasting and automatic replenishment system. One of the main tasks of “Umai Group” is to strike the right balance between the stable on-shelf availability, stock and logistic cost. “Umai Group” today consists of 95 supermarkets, hypermarkets and convenience stores, more than 50,000 m2 of retail space and more than 4,500 employees. “Umay Group” is the largest FMCG operator in the Kyrgyz market, managing three retail chains Globus, Narodny and Dostor.

Wpurpose of globus simulation