Supply & Demand Forecasting
Reduces costs by significantly improving the decision-making processes in financial planning, capacity planning and risk assessment.
CHALLENGE
Companies more than often deal with reduced profit margins due to inefficient forecasting models.
Overseeing al the data businesses generate is really hard for humans. All this historical data is just too much to process efficiently.
Because of this, a lot of valuable data gets ignored, leading to suboptimal insights and decisions.
Resulting in e.g. reduced Case Fill Rate, deadstock, stockouts, unnecessary markdowns, too many backorders and a workforce that at times isn't able to deal with the workload while being overstaffed at other times...
SOLUTION
A good forecast stands between being profitable and going out of business.
With Machine Learning, we're able to estimate and predict customers’ future demand for a product or service more accurately, based on historical and real-time data.
Specifically, Demand Forecasting is able to help the business to make better-informed decisions for its supply operations by predicting and maximizing future demand for your products at respective price points.
As a result, you will receive an early and more accurate forecast towards sales, staffing, transport and warehousing needs.
And with a continuously optimized inventory, also On-Time, In-Full and Fill Rates will be greatly improved.
VALUE
Improved Fill Rate
Improved On-Time, In-Full (OTIF)
Improved customer satisfaction & brand reputation
Improved sustainability
Increased sales & revenue
Optimized fulfillment process
Reduced inventory costs
Reduced operating costs
Reduced transport costs
Reduced warehouse costs
Reduced stockouts, deadstock and backorders