We developed three service solution, each covering a certain stage of assortment management decisions, which is based on accurate data analysis and modelling and leads to a higher customer satisfaction and financial results.
•Segmented stores and prepared category clusters
•Covered more customer needs with the same quantity of items
Better financial results:
•Higher sales and profits
•Less capital invested in stock
•Lower out of stock, overstock, markdowns
EFFECTIVE assortment MANAGEMENT:
•Faster data driven decision making
•Transparent purchasing and auto ordering
•Efficient utilization of store and shelf space
Future scenario modelling:
•Increase or decrease merchandising space of SKU, brand, category
•List or de-list SKU, brand, supplier
•Change supplier commercial terms
Sumatus is an advanced analytics company specializing in retail.
We combined our more than 20-year experience and knowledge of retail, FMCG and category management with advanced analytics methods like Data Mining, Machine Learning, Predictive Modelling, Clustering, Simulation & Optimization, and developed algorithms which enable retailers convert data into insights and fact based decisions in assortment management in order to ensure customer satisfaction and profitable growth.