Data Analysis in Traditional Food Retail: “Mapping Consumer Choices at Nanakramji Refreshment Centre”

ABSTRACT: Traditional food retail outlets in India(Amravati) function largely without digital systems and structured data, relying mainly on experience and intuition for decision-making. This study examines the application of basic data analytics in a fully offline traditional food outlet, Nanakramji Refreshment Centre, located in Amravati, Maharashtra. The objective of the research is to understand consumer preferences, satisfaction drivers, and purchase behavior in a heritage-based food retail context. An exploratory–descriptive research design was adopted. Primary data were collected from 50 respondents using a structured questionnaire, supported by relevant secondary sources. Descriptive statistics along with inferential techniques such as Multivariate Analysis of Variance (MANOVA) and the Chi-square test were used for data analysis. The findings reveal that product attributes such as taste consistency, freshness, and hygiene significantly influence consumer purchase decisions and revisit intention (p < 0.05). Price was found to be a secondary consideration. The study demonstrates that simple data analytics can generate meaningful insights even in non-digital traditional businesses. Keywords: Data analytics, Traditional food retail, Consumer behavior, Street food, Customer satisfaction