Predictive Demand Planning and Forecasting
Does your organization struggle with loss of opportunities, stock outs, fall outs and wasted inventory?
If yes, then it’s high time to evaluate advanced analytics that improves demand planning & forecasting accuracy. According to Gartner, about 73% of organizations see significantly improvement in forecasting accuracy with predictive or prescriptive analytics. In fact, modeling helps companies to explore thousands of combinations of factors to analyze and rank the potential business outcome.
Predictive analytics can provide insights into supply chain metrics such as inventory turnover, stock values, procurement trends, warehouse performance, quality control and compliance.
Also, by unlocking the power of analytics, an organization can make better decisions by ranking and optimizing trade-offs between business goals, such as costs or customer growth and suggesting recommended actions.
Join an episode of ET Unwired, co powered by Trident Information Systems Pvt. Ltd., an IBM Business Partner, to learn about a solution for demand planning that marries highly accurate demand forecasts generated by predictive models with a user friendly and highly interactive budgeting and planning interface that models the rest of the P&L. This solution drives gains in supply chain efficiency and capital/resource management.