Abstract:
In today's digital age, online shopping has become increasingly prevalent, offering
convenience and accessibility to consumers worldwide. The emergence of the COVID-19
pandemic has further accelerated the need for reliable and personalized online shopping
experiences. In response, My Web-Based Online Store with Recommendation Algorithm and
Auto Discount Algorithm has been developed as a cutting-edge e-commerce solution.
The recommendation algorithm in my system analyzes users' recent product views and
browsing behavior to generate personalized product suggestions. The algorithm helps users
discover new items that align with their preferences. This tailored approach becomes even more
crucial during these challenging times when individuals are looking for convenient ways to
find the products they need while minimizing physical contact.
Additionally, my system incorporates an advanced auto discount algorithm to optimize
sales and promote inventory turnover. This algorithm identifies products that have never been
sold or have the lowest sales and automatically applies discounts. With a maximum discount
limit of 10%, this strategy encourages users to explore and purchase these items, helping
businesses adapt to the changing market demands caused by the pandemic.
Built on the ASP MVC framework, My Web-Based Online Store ensures a seamless and
efficient user experience. Furthermore, the responsive design of the system enables users to
access the online store effortlessly from various devices, accommodating the shift towards
mobile and remote shopping experiences.
In conclusion, My Web-Based Online Store with Recommendation Algorithm and Auto
Discount Algorithm is an innovative e-commerce platform that addresses the evolving needs of online shoppers, particularly in the context of the COVID-19 pandemic. The
recommendation algorithm offers personalized product suggestions, helping users find the
items they need while minimizing physical interactions. The auto discount algorithm drives
sales and promotes inventory turnover, assisting businesses in adapting to changing market
conditions. With a secure and responsive design, the system aims to provide users with a
seamless and enjoyable shopping experience, ensuring customer satisfaction and facilitating
business growth in these challenging times.
