Resale Revolution: Trend Implications from Media Presence Transcended to Luxury Retail Markets

Authors

Penelope Prochnow, Mississippi State UniversityFollow

ORCID

https://orcid.org/0009-0003-6135-9359

MSU Affiliation

Data Science Academic Institute

Advisor

Dr. Seonjai Kim, Dr. Jessica Pattison

Abstract

This study aims to deepen understanding of fashion trend decline from peak popularity to obsolescence, with implications for sustainability and producer profit margins. It investigates how the attributes and media presence of fashion items influence their journey from high-end editorial coverage to resale platforms. Using survival analysis to model trend lifetimes and cosine similarity metrics to compare resale and magazine keyword frequencies, alongside machine learning for price prediction, the study uncovers critical temporal patterns. Results show that resale trends reflect magazine content with a lag of approximately 18 to 30 months and draw from long-wave revivals spanning 6 to 14 years, rather than reacting only to recent cycles. These findings suggest producers should monitor editorial patterns and expect garments to fade from popularity roughly two to six years after their peak media exposure.

DOI

https://doi.org/10.54718/MEBN5936

Publication Date

5-12-2025

Requires

Python, R

Keywords

E-commerce, Natural Language Processing, Retail, Fashion Industry, Text Parsing, Survival Analysis, Cosine Similarity, Price Prediction, Machine Learning, Kaplan Meier Test, Cox Proportional Hazards Model, XGBoost, Gaussian Mixture Model

Disciplines

Data Science | E-Commerce | Fashion Business | Statistical Models | Survival Analysis

Recommended Citation

Prochnow, Penelope, "Resale Revolution: Trend Implications from Media Presence Transcended to Luxury Retail Markets" (2025). Capstone Projects. 1.
https://scholarsjunction.msstate.edu/data-capstone/1