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A Root Cause Analysis (RCA) on Aggregator Businesses focusing on Challenges faced During Covid-19 Pandemic


Affiliations
1 Dept. of Management Studies(PG), Acharya Bangalore B-School (ABBS), (Affiliated to Bangalore University), Bengaluru, Karnataka, India
 

This research paper focuses on the key challenges faced by companies during the Covid-19 era. The author has highlighted the supply chain challenges faced by the companies are: supply shocks, demand shocks, aftershocks and new normal. Paradigm shift in the consumer behaviour also discussed with 3Ps (price, promotion and portfolio). Secondary data and expert opinions were gathered and discussed. The author has selected three aggregator businesses i.e taxi aggregator business, food chain aggregator business and agricultural produce aggregator business for discussion. In this context companies like Uber, Ola, Fast Track Taxi, Zomato, Swiggy, Dunzo, ITC, Abiona, MyVishwa Technologies and Ninjacart and their business practices are also discussed. Business leaders’ opinions and the studies conducted by BCG, PWC, KPMG and Accenture are also highlighted. This paper also explains the demand planning during uncertain times. Technology is the key to manage the business in short run. The importance of Machine Learning (ML) & Artificial Intelligence, Data Science and Predictive Analysis are also discussed.

Keywords

Aggregator Business Model, Covid-19 Pandemic, New Normal, Online-Market Place.
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  • A Root Cause Analysis (RCA) on Aggregator Businesses focusing on Challenges faced During Covid-19 Pandemic

Abstract Views: 417  |  PDF Views: 178

Authors

C. Sengottuvelu
Dept. of Management Studies(PG), Acharya Bangalore B-School (ABBS), (Affiliated to Bangalore University), Bengaluru, Karnataka, India

Abstract


This research paper focuses on the key challenges faced by companies during the Covid-19 era. The author has highlighted the supply chain challenges faced by the companies are: supply shocks, demand shocks, aftershocks and new normal. Paradigm shift in the consumer behaviour also discussed with 3Ps (price, promotion and portfolio). Secondary data and expert opinions were gathered and discussed. The author has selected three aggregator businesses i.e taxi aggregator business, food chain aggregator business and agricultural produce aggregator business for discussion. In this context companies like Uber, Ola, Fast Track Taxi, Zomato, Swiggy, Dunzo, ITC, Abiona, MyVishwa Technologies and Ninjacart and their business practices are also discussed. Business leaders’ opinions and the studies conducted by BCG, PWC, KPMG and Accenture are also highlighted. This paper also explains the demand planning during uncertain times. Technology is the key to manage the business in short run. The importance of Machine Learning (ML) & Artificial Intelligence, Data Science and Predictive Analysis are also discussed.

Keywords


Aggregator Business Model, Covid-19 Pandemic, New Normal, Online-Market Place.