Applied Data Analytics for Impact

Collecting the Data To explore whether consumer behaviour is shifting from traditional retail to quick commerce, I began by identifying data sources that could capture real world intent and trends . Since direct datasets comparing small local shops and quick commerce platforms are limited, I used search behaviour as a proxy for consumer interest . Data Source: Search Trends I used Google Trends to collect time-series data on how frequently different terms are searched over time. Search data is particularly useful because it reflects: What people are actively looking for Changes in consumer intent Emerging behavioural patterns Quick Commerce Keywords To represent quick commerce platforms, I selected: Instamart Blinkit Zepto These platforms are widely used in India and reflect the growing demand for instant delivery services. Traditional Retail Proxies Since there is no direct dataset for small local shops, I used search queries as proxies: “kirana store” “...