In a study on large real-world sales datasets, our method outperforms competing approaches on fast and medium moving items.

We present a scalable and robust Bayesian method for demand forecasting in the context of a large e-commerce platform, paying special attention to intermittent ...

We present a scalable and robust Bayesian method for demand forecasting in the context of a large e-commerce platform, paying special attention to ...

A scalable and robust Bayesian method for demand forecasting in the context of a large e-commerce platform, paying special attention to intermittent and ...

In a study on large real-world sales datasets, our method outperforms competing approaches on fast and medium moving items.

The paper proposes a demand forcasting model that combine the merit of generalized linear models and exponential smoothing. It also considers the multi-stage ...

Estimating demand becomes challenging when parts experience intermittent demand/failures versus demand at more regular intervals or high quantities. In this.

Jan 23, 2017 · In a study on large real-world sales datasets, our method outperforms competing approaches on fast and medium moving items. Description. Embed.

A new approach to forecasting intermittent demand for service parts inventories. International Journal of Forecasting,. 20(3), 375-387. Willemain, T. R. ...

Croston method forecasts the non-zero demand size and the inter-arrival time between successive demands using exponential smoothing individually. Both forecasts ...