Abstract:
Online shopping has become a trend in all the sectors of life. As businesses are
expanding, it is important for businesses to understand the consumer’s behaviour.
The style of grocery shopping such as online grocery shopping made by retailers to
attract customers. It is a technology which is popular mostly in big and metropolitan
cities of India. We aim to provide techniques which can help the customers by
spending less time on paying for products by customizing their experience of shopping
and analyzing their feelings towards the shops of their choice. This system
has three modules: Customer, Shopkeeper and Delivery Boy. This System focuses
on building a website which can make the online grocery shopping a lot easier for
customers.
This automated system provides many functionalities which will make it better
than the previous systems available. The facilities provided will be–registering,
signing in, searching, viewing recommended products based on different categories,
reviewing the products according to your experience and ordering the grocery items
with secured online transaction. It is a beneficial system for small retailers to expand
their business as they can directly deliver the products to the customers in less time.
Voice to text, smart list are some add-on features new for an online grocery store.
Not only this customer can also track products. A smart list is a list of products
based on previous history of frequently bought products
Keywords: Machine Learning, Natural language Processing (NLP), Text Analysis,
Speech Recognition, Product Recommendations, Artificial intelligence.
