TrueStock

TrueStock is a demand forecasting solution for the retail industry and utilizes high-performing machine learning algorithms to predict the volume of products or services to be purchased during a defined future period. This smart technology replaces more traditional legacy forecasting methods as it incorporates data from a range of internal and external demand drivers that impact future forecasting. Retailers can leverage data science and predictive analytics to create sales forecasts that are more accurate than ever. With machine learning algorithms process data providing stronger and quicker sales forecasts. Analysis of data is improved as machine learning is a method that accelerates processing, identifies patterns and learns from the data over time. More complete forecasts are generated with the analysis of internal and external factor types such as historical sales and pricing, the weather and events are considered. With advanced and predictive analytics decision making is enhanced reducing the guesswork in sales forecasting. Profitability is increased as data science considers complex data and factors that impact the bottom line. Marketing focus is improved by analyzing ROI on spend for marketing activities from different channels or locations. TrueStock also has an automated replenishment system with automated monitoring and notification functionality that predicts replenishment quantities. Daily forecasts are synced daily to ensure forecasting data is ready when you need it. Supply chains can be optimized by giving suppliers a more reliable anticipation of demand for uninterrupted product supply. Customer retention and loyalty can be enhanced with quick, efficient, and guaranteed order fulfillment. Taking the uncertainty out of demand forecasting, TrueStock helps retailers make better business decisions, drive sales and boost profitability.