Budget Management Shopping Strategy for an E-Commerce Website
by Deep Thakkar | Shalaka Sonar | Niddhi Bhangdia | Digvijay Sonawane" Budget Management Shopping Strategy for an E-Commerce Website"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018,
URL: http://www.ijtsrd.com/papers/ijtsrd11308.pdf
Direct URL: http://www.ijtsrd.com/computer-science/data-miining/11308/budget-management-shopping-strategy-for-an-e-commerce-website/deep-thakkar
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Recent e-commerce website does not assure shopping within a stipulated budget. Many a times when our basket/cart contains multiple products our budget gets collapsed. This somewhere affects customer shopping experience. Hence in this research we propose a methodology where a different combination of products, that customer wants to purchase is made. Then these combinations or these baskets are further evaluated based on customer's given budget. While suggesting ready made baskets to customer, we make sure that quality of product is not hampered. During these transactions it is verified that both seller and customer point of view is taken into consideration. Hence due to our proposed system seller's profit margin too is considered while suggesting the basket to customer. This system enables easy shopping within less time. Many a times it happens that buyers are not satisfied because selection of products go beyond the budget and buyer is not able to spend perfect price on product on which buyer should look forward to spend. Hence our system helps in managing purchases according to preferences. Today's e-commerce website does not provide the shopping within buyers or customers stipulated budget. In our work we produce a win-win condition for both, seller and buyer/customer. Seller's profit margin is also considered while pairing products and product ratings are consider to ensure product quality. Hence our work aims to benefit both seller and buyer without compromising product quality.
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Market Basket Analysis is a data processing technique that is used in the discovery of relations among various items. The main purpose of market basket analysis in retail is to provide information to the distributor to know the buying behaviour of a customer, which can help the distributor in creating the right selections. There are various algorithms available for performing market basket analysis. This paper discusses the data mining technique i.e. association rule mining which may be helpful to examine the customer purchasing behaviour and assists in increasing the sales. Results can provide a valuable reference for cross-selling, up-selling, devising promotions and placing the merchandise in the store to improve sales.
