assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI …

The inventory management and production planning of parts with irregular demand patterns are challenging for … configurations and classical forecasting methods for all of the different demand categories according to Syntetos et al. [1], which … Levenberg-Marquardt (LM) by evaluating them separately, which has not been covered in the context of all irregular demand …

Intermittent demand patterns are commonly present in business aircraft spare-parts supply chains. Due to the infrequent … arrivals and large variations in demand, aircraft aftermarket demand is difficult to forecast, which often leads to shortages … or overstocking of spare parts. To improve the aftermarket demand forecasting process, the Bombardier inventory planning …

methods in demand planning. A cross-industry analysis for current machine learning approaches within the field of demand … applied machine learning methods in the field of demand planning are identified. The literature research focuses on machine … learning applications across industries wherein demand planning plays a major role. Findings: This comparative analysis of …

competitiveness. However, this requires the ability to calculate customer demand in the Fast Moving Consumer Goods (FMCG) industry as … demand for goods due to changes in the price of other products, and it leads to an exponential number of combinations of … effect to the demand prediction and price optimisation model. The research has developed an algorithm to construct an …