Issuu

International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 10 Issue: 04 | Apr 2023

p-ISSN: 2395-0072

www.irjet.net

Rider Ready- Bike parts purchase portal with smart cart Harshit Parasrampuria1, Manali Rathod2, Pratik Sherlekar3, Pranav Temkar4 ,Prof. Amruta Sankhe5 1Harshit Parasrampuria, Dept. of Information Technology Engineering, Atharva College of Engineering 2Manali

Rathod, Dept. of Information Technology Engineering, Atharva College of Engineering 3Pratik Sherlekar, Dept. of Information Technology Engineering, Atharva College of Engineering 4Pranav Temkar, Dept. of Information Technology Engineering, Atharva College of Engineering 5Prof. Amruta Sankhe, Dept. of Information Technology, Atharva College of Engineering, Maharshtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------1.1-Need Abstract - This paper presents the design and implementation of a bike parts purchasing portal that utilizes the Apriori algorithm for cart recommendations. The association rules were trained by minimum support=3, minimum confidence=20% and minimum lengths were 9,7 and 6,5. The portal provides an easy and convenient platform for customers to purchase bike parts and also has the option to book for installation services. The Apriori algorithm is employed to analyze customer purchase behavior and suggest items that are frequently bought together, thus enhancing the customer shopping experience. The chatbot is integrated to provide instant support for customers and assist with their purchases. The portal is user-friendly and aims to simplify the process of purchasing bike parts, making it a one-stop-shop for all biking needs.

India has the largest number of two wheeled vehicles in the world and hence the largest number of consumers who frequently need to replace certain parts. Going to a company garage is not always feasible so people rely on independent motor garages. It frequently leads to garages using subpar components and cause accidents and increased costs. Our portal will ensure that the parts are purchased from the actual manufacturers who made their vehicles. While purchasing the product the customers can also select the vendors for the garages to replace the parts that they purchased. In this way vendors get new business and the customers get assurance that the parts they purchased are authentic. The vendors who have offline stores get a chance to integrate their business with tech and become a part of the modern tech business world.

Key Words: Bike, apriori, chatbot, workshop, website, filtering, php, comparative analysis.

2. Application

1. INTRODUCTION

Every person who uses a bike can use the portal to purchase parts that require periodic replacement like engine oil, brake wires and many more. People who want to purchase spare parts can purchase individual products and keep them for emergency. The smart cart option gives users a recommendation on which products are frequently purchased with their products so they have a better cart of products that is learnt from collective intelligence. The vendors based on location can be booked for consultation or to fit the parts that have been purchased. Portal is also a vendor aggregator where the vendors get their own login ids and they can get businesses and accept or reject the order themselves. They can also view the orders of other vendors which will promote healthy competition and result in competitive prices for the users.

Riding a motorcycle is a passion for many and requires constant maintenance to keep it in top shape. With the increase in the number of riders, there is also a growing demand for motorcycle parts and accessories. However, finding the right parts and making the purchase can often be a time-consuming and challenging task. To address this problem, a new portal for purchasing motorcycle parts has been developed. This portal utilizes the Apriori algorithm for cart recommendations and has a chatbot for customer support. It also provides the option to book for part fittings, making it a comprehensive solution for all motorcyclerelated needs. The use of the Apriori algorithm ensures that customers receive relevant and personalized recommendations, streamlining the purchasing process. The integration of a chatbot provides instant support and enhances the overall customer experience. This paper aims to present the design and implementation of this unique portal, offering a one-stop-shop for all motorcycle parts and accessories.

3. Literature Survey A. Car Recommendation System for Dealers in Different European Countries This paper discusses the creation of a car recommendation system for various European countries

Impact Factor value: 8.226

ISO 9001:2008 Certified Journal

Page 1399