Retail Trend Analytics

Retail Trend Analytics is a systematic methodology within fashion trend forecasting that utilizes quantitative and qualitative data derived from retail operations and consumer behavior to identify, evaluate, and predict emerging product trends, distinguishing itself by its focus on real-time sales data, inventory patterns, and market responsiveness at the point of sale.

6

Publications

237

Citations

14

Authors

14

Institutions

Publications per year

2017–2026

5

Authors

14

  1. CE
    Chi Eun Kim

    1 publications · 22 citations

    1

    h-index

  2. ES
    Emmanuel Sirimal Silva

    University of the Arts London, United Kingdom

    1 publications · 98 citations

    1

    h-index

  3. PG
    Punit Gupta

    Manipal University Jaipur

    1 publications · 15 citations

    1

    h-index

  4. MD
    Mikayla DuBreuil

    University of Delaware, United States

    1 publications · 59 citations

    1

    h-index

  5. BB
    Brij B. Gupta

    National Institute of Technology Kurukshetra, India

    1 publications · 19 citations

    1

    h-index

1–5 of 14

Venues

  1. Technological Forecasting and Social Change

    1 publications · 19 citations

    1

    h-index

  2. Journal of Business Strategy

    1 publications · 98 citations

    1

    h-index

  3. 1

    h-index

  4. Electronics

    1 publications · 24 citations

    1

    h-index

  5. 1

    h-index

1–5