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Oliver Schaer

Assistant Professor

Decision Sciences and MIS


Oliver Schaer is an Assistant Professor of Business Analytics at the Department of Decision Sciences & MSI. He is a business analyst with a focus on forecasting and industry application. Prior to joining Drexel, he was a research associate at Darden School of Business at the University of Virginia. He has PhD in Management Science and MSc in Marketing Analytics from Lancaster University in the UK. Oliver Schaer has multiple years working in industry, primarily as a project manager of a global health technology company in Switzerland. He is a member of INFORMS, the International Institute of Forecasting and visiting research fellow of the Centre for Marketing Analytics and Forecasting at Lancaster University.

Research interest Oliver’s research interests are primarily in the application of predictive analytics for business operations and marketing. His research reflects his interest in helping business leaders improve their decision-making processes for new products and supply chain forecasting. Specifically, his research informs how managers can better leverage data to make more effective, informed, and sustainable decisions. In one of his current projects, he investigates why and when uncertainty in forecasts translate into inventory management. Another area of interests includes the development of new product forecasting methods. This includes combining life-cycle modelling with temporal aggregation and user-generated content.

Industry collaboration Oliver is keen to work with industry and provide decision-makers with practical tools to maximize their analytical capabilities. He is an expert in time-series modelling and business forecasting, but also has industry experience that enables him to intuitively understand managers’ problems and address their needs. He is always open to speaking with business leaders about their problems and ideas. He built and maintains the R package diffusion that contains a variety of tools to forecast life-cycle products.

Areas of Expertise

  • Technology and Innovation
  • Production Planning and Control
  • Applied Econometrics and Time Series Analysis
  • Decision Models
  • Supply Chain Management
  • Predictive Analytics
  • Time Series Forecasting
  • New Product Forecasting
  • Marketing
  • Production/Operations Management
  • Statistics

Recent Media Mentions

Selected Works


Schaer, Oliver, Svetunkov, Ivan, and Fildes, Robert, What Do We Learn from Forecasting Software Surveys?. Foresight: The International Journal of Applied Forecasting 2023Q4 (Oct 2023):62-65.

Schaer, Oliver, Kourentzes, Nikolaos, and Fildes, Robert, Predictive competitive intelligence with pre-release online search traffic. Production and Operations Management 31 (Oct 2022):3823-3839.

Fildes, Robert, Schaer, Oliver, Svetunkov, Ivan, and Yusupova, Alisa, Survey: Forecasting Software Trends in a Challenging World. ORMS-Today 49 (Sep 2022):38-41.

Fildes, Robert, Schaer, Oliver, Svetunkov, Ivan, and Yusupova, Alisa, Survey: What’s new in forecasting software?. ORMS-Today 47 (Aug 2020):54-58.

Schaer, Oliver, Kourentzes, Nikolaos, and Fildes, Robert, Demand forecasting with user-generated online information. International Journal of Forecasting 35 (Mar 2019):197-212.

Schaer, Oliver, Software Survey: Forecasting 2018. ORMS-Today 45 (Jun 2018):44-51.