International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2018, Vol. 3, Issue 1, Part F

Logistic regression model applications in retail industry


Author(s): G Satyanarayana Reddy and N Viswam

Abstract: The Indian retail industry has emerged as one of the most dynamic and fast-paced industries due to the entry of several new players. It accounts for over 10 per cent of the country’s Gross Domestic Product (GDP) and around 8 per cent of the employment. India is the world’s fifth-largest global destination in the retail space. The Boston Consulting Group and Retailers Association of India published a report titled, ‘Retail 2020: Retrospect, Reinvent, Rewrite’, highlighting that India’s retail market is expected to nearly double to US$ 1 trillion by 2020 from US$ 600 billion in 2015, driven by income growth, urbanization and attitudinal shifts. Retail spending in the top seven Indian cities amounted to Rs.3.58 trillion (US$ 53.7 billion), with organized retail penetration at 19 per cent as of 2014.

Pages: 476-480 | Views: 472 | Downloads: 18

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How to cite this article:
G Satyanarayana Reddy and N Viswam. Logistic regression model applications in retail industry. International Journal of Statistics and Applied Mathematics. 2018; 3(1): 476-480.
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