ENGG 390 Reports (MEM Students)
Degree Program
M.E.M
Year of Graduation
2019
Sponsor
Overstock, Midvale, Utah
Faculty Advisor
Eric S. Bish
Document Type
Report
Publication Date
Fall 9-12-2018
Abstract
Overstock.com is an online e-retailer serving the furniture category with a net revenue of $1.75B with approximately 70% from the Home & Décor business unit. In this unit, Overstock works with various vendors to sell their assortment on Overstock’s website. These accounts are managed by an internal team called buyers. Assortment Attribute Analytics is a project born out of the need that buyer teams lack a way to visualize assortment health. With each buyer handling a variety of SKUs (assortment) having various attributes, the problem of tracking performance of these SKUs becomes extremely complex. Through the use of data analytics and visualization techniques, this project directs them to source better in the future by visualizing performance and gaps in assortment thereby helping Overstock stay competitive with their offerings.
Level of Access
Restricted: Campus/Dartmouth Community Only Access
Dartmouth Digital Commons Citation
Ravi, Raghavan, "Assortment Attribute Analytics in E-Retail" (2018). ENGG 390 Reports (MEM Students). 9.
https://digitalcommons.dartmouth.edu/engs390/9
Restricted
Available to Dartmouth community via local IP address.