How AI Can Disrupt Review Collection in Ecommerce

The e-commerce landscape thrives on customer reviews. They are essential for shaping consumer perceptions, building trust, and influencing purchasing decisions. As online shopping continues its growth trajectory, the methods for collecting these valuable reviews are evolving, driven by the rise of artificial intelligence (AI)1. This paper explores how AI can revolutionize traditional review collection methods in e-commerce, examining its potential to transform how businesses gather, analyze, and utilize customer feedback.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-08
DOI
https://doi.org/10.5281/zenodo.15109742
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00
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article

How AI Can Disrupt Review Collection in Ecommerce

Zenodo (CERN European Organization for Nuclear Research)
Customer churn and segmentation
article

How AI Can Disrupt Review Collection in Ecommerce

article en

Abstract

The e-commerce landscape thrives on customer reviews. They are essential for shaping consumer perceptions, building trust, and influencing purchasing decisions. As online shopping continues its growth trajectory, the methods for collecting these valuable reviews are evolving, driven by the rise of artificial intelligence (AI)1. This paper explores how AI can revolutionize traditional review collection methods in e-commerce, examining its potential to transform how businesses gather, analyze, and utilize customer feedback.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 51%
Customer churn and segmentation
DOIOpen Access PDFOpenAlex
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How AI Can Disrupt Review Collection in Ecommerce · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS