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Analytics for an Online Retailer: Demand Forecasting and Price Optimization

Analytics for an Online Retailer: Demand Forecasting and Price Optimization

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_incontextgauss__A443457912

Analytics for an Online Retailer: Demand Forecasting and Price Optimization

About this item

Full title

Analytics for an Online Retailer: Demand Forecasting and Price Optimization

Publisher

Linthicum: INFORMS

Journal title

Manufacturing & service operations management, 2016-01, Vol.18 (1), p.69-88

Language

English

Formats

Publication information

Publisher

Linthicum: INFORMS

More information

Scope and Contents

Contents

We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time discounts on designer apparel and accessories. One of the retailer’s main challenges is p...

Alternative Titles

Full title

Analytics for an Online Retailer: Demand Forecasting and Price Optimization

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_gale_incontextgauss__A443457912

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_incontextgauss__A443457912

Other Identifiers

ISSN

1523-4614

E-ISSN

1526-5498

DOI

10.1287/msom.2015.0561

How to access this item