Open AccessA Study on Customer Expectations from Local Online Shopping Application to Buy Local Products
Author(s) -
S. Arokia Punitha
Publication year - 2022
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-2504
Subject(s) - business , flexibility (engineering) , marketing , globe , set (abstract data type) , loyalty , sample (material) , advertising , variation (astronomy) , resilience (materials science) , computer science , economics , medicine , chemistry , physics , management , chromatography , astrophysics , ophthalmology , programming language , thermodynamics
Indian online retail market is set to become the third-largest across the globe. Experts believe that the GMV (Gross Merchandise Volume) will reach $ 350 billion by 2030. In today’s economically turbulent and environmentally unfriendly times, many consumers choose to shop only within their own town or state. Community resilience and environmental integrity are at the heart of the “buy local” movement. The Primary objective of the study is to find out the customer’s expectation from the local online shopping application to buy the local products. The sample size selected for the study is 250. The area taken for the study is Tiruchirapalli city. ANOVA is used because the technique involves first finding out the total variation among the observations in the collected data, then assigning causes or components of variation to various factors and finally drawing conclusions about the equality of means. Offering more options like in-store pick-ups, one-click shopping, recurring orders, voice activated shopping, can all make life that little bit easier for customers. If they change the way they interact with your customers that fits in with their lifestyle will create lasting loyalty. Offering flexibility will allow the customers to shop on their own terms and enjoy the experience. The local online shopping applications can provide good customer support by answering their queries promptly and informatively.