Retail IQ developed advanced analytics tool SUMATUS for retail industry that fastens assortment management decisions and improves their accuracy.
We have combined our more than 20 years of experience and knowledge in retail, FMCG and Category Management with advanced analytics methods, such as Data Mining, Machine Learning, Predictive Modelling, Prescriptive Modelling, Clustering, Simulation & Optimization, and developed algorithms which enable retailers to convert data into insights and fact based decisions in assortment management in order to ensure customer satisfaction and profitable growth of stores.
Our tool is versatile and can be implemented at any stage of retail chain development despite how much data a client has and how well data storage is organized. Our team is ready to design a suitable cooperation model (collecting data from a client, analyzing, modelling, and presenting it) that requires minimum involvement from the client's management team and personnel. We provide information in a way a client can immediately start making decisions using business intelligence systems or via interface with back office applications.
We are confident that cooperation with us will allow our clients to gain competitive advantage, which ensures more satisfied customers, saves technical – not value added employee time, makes assortment management process transparent and ultimately leads to a higher sales and profits.