Academic Journal

Optimal Category Mix in Multi-Category Retailing – Insights from an Experiment

التفاصيل البيبلوغرافية
العنوان: Optimal Category Mix in Multi-Category Retailing – Insights from an Experiment
المؤلفون: H. R. Ganesha, P. S. Aithal, P. Kirubadevi
المصدر: International Journal of Case Studies in Business, IT, and Education (IJCSBE), 4(1), 112-126, (2020-05-12)
بيانات النشر: Zenodo
سنة النشر: 2020
المجموعة: Zenodo
مصطلحات موضوعية: Brick-and-mortar store, Offline store, Physical store, Multi-Category, Category Mix, Category Management, FMCG, Hardlines, Softline
الوصف: In brick-and-mortar retailing format, retailers need to ensure minimum level of inventory displayed at each store for each category irrespective of the revenue or profit generated by a particular category. It is observed that majority of bricks-and-mortar retailers in India assume; (a) existing category mix is ideal for their stores, (b) any modification in the existing category mix could possibly lead to loss of sale of an existing category, (c) it is preferred to have categories generating higher average transaction values and most importantly,(d) categories with lower average selling price products and generating lower average transaction values negatively impact store’s revenue. Such assumptions and widely followed practice have created a predisposition and mindset in store managers and they believe that, their store delivers revenue and profit to the best of its potential with the existing category mix. In this research, we have analysed the existing category mix of a select retailer, attempted to alter the existing category mix through an experiment and evaluated change in (a) category level profitability, and (b) overall store profitability.
نوع الوثيقة: article in journal/newspaper
اللغة: English, Old (ca.450-1100)
Relation: https://doi.org/10.5281/zenodo.3822482; https://doi.org/10.5281/zenodo.3822483; oai:zenodo.org:3822483
DOI: 10.5281/zenodo.3822483
الاتاحة: https://doi.org/10.5281/zenodo.3822483
Rights: info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode
رقم الانضمام: edsbas.2B1F7060
قاعدة البيانات: BASE