Customer reviews for demand distribution and sales nowcasting: a big data approach

DOI10.1007/s10479-016-2296-zzbMath1412.62206OpenAlexW2514827798MaRDI QIDQ1730521

Eric W. K. See-To, Eric W. T. Ngai

Publication date: 6 March 2019

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-016-2296-z

zbMATH Keywords

big datademand distributionsales forecastsales nowcastingshort-run operation

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Parametric hypothesis testing (62F03)

Related Items (7)

Improving the Bass model's predictive power through online reviews, search traffic and macroeconomic data ⋮ Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness ⋮ Social media and sensemaking patterns in new product development: demystifying the customer sentiment ⋮ Two-period pricing and inventory decisions of perishable products with partial lost sales ⋮ Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems ⋮ Demand forecasting and information sharing of a green supply chain considering data company ⋮ Investment decision-making and coordination of a three-stage supply chain considering data company in the big data era

Cites Work

• The Data-Driven Newsvendor Problem: New Bounds and Insights
• Distributionally Robust Convex Optimization
• Maximum likelihood identification of Gaussian autoregressive moving average models
• Model Selection and Multimodel Inference
• The Distribution Free Newsboy Problem with Balking
• Response to Shore

This page was built for publication: Customer reviews for demand distribution and sales nowcasting: a big data approach