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On the estimation of the true demand in call centers with redials and reconnects

Ding, Sihan; Koole, Ger M.; Mei, R. D. van der - In: European journal of operational research : EJOR 246 (2015) 1, pp. 250-262

Persistent link: https://www.econbiz.de/10011341649

A call for exploratory data analysis in revenue management forecasting : a case study of a small and independent hotel in The Netherlands

Sierag, Dirk; Rest, Jean-Pierre van der; Koole, Ger M.; … - In: International journal of revenue management : IJRM 10 (2017) 1, pp. 28-51

Persistent link: https://www.econbiz.de/10011795027

Booking horizon forecasting with dynamic updating : a case study of hotel reservation data

Haensel, Alwin; Koole, Ger M. - In: International journal of forecasting 27 (2011) 3, pp. 942-960

Persistent link: https://www.econbiz.de/10009248060

A machine learning approach to itinerary-level booking prediction in competitive airline markets

Hopman, Daniel; Koole, Ger M.; Mei, R. D. van der - In: International journal of revenue management : IJRM 12 (2021) 3/4, pp. 153-191

Persistent link: https://www.econbiz.de/10012990601

Hierarchical Agglomerative Clustering for Product Sales Forecasting

van Ruitenbeek, Robin Enrico; Koole, Ger; Bhulai, Sandjai - 2023

Many forecasting methods perform poorly in the case of intermittent demand patterns and high variances in the demand quantity. Strong fluctuations within the time series and a large proportion of zero observations complicate the extraction of trend and seasonality. This research investigates how...

Persistent link: https://www.econbiz.de/10014358735

Demand forecasting in hospitality using smoothed demand curves

Leeuwen, Rik van; Koole, Ger M. - In: Journal of revenue and pricing management 21 (2022) 5, pp. 487-502

Persistent link: https://www.econbiz.de/10013390637

A hierarchical agglomerative clustering for product sales forecasting

Ruitenbeek, R. E. van; Koole, Ger M.; Bhulai, S. - In: Decision analytics journal 8 (2023), pp. 1-12

Many forecasting methods perform poorly when dealing with intermittent demand patterns and large variations in demand quantity. The presence of significant fluctuations within the time series, coupled with a substantial proportion of zero observations, complicates the extraction of trend and...

Persistent link: https://www.econbiz.de/10014520564