Abstract:
This study presents the successful implementation of the linear regression
method in an online store built using the CodeIgniter framework. The objective was
to address the challenge of predicting sales results for the next 1 to 3 months and
automating the recording of sales data without manual intervention. The study
focused on facilitating the store owner in accurately predicting sales within the
specified timeframe and streamlining the sales recording process.
The implementation involved leveraging the capabilities of CodeIgniter to
integrate the linear regression algorithm seamlessly into the store's data analytics
system. Historical sales data, along with additional factors such as time, weather
conditions, and promotional activities, were analyzed to develop a robust predictive
model. The linear regression method yielded accurate predictions, providing valuable
insights into sales trends, popular products, and optimal marketing strategies.
The integration of CodeIgniter's features facilitated efficient data processing
and management, enabling the store owner to make informed decisions based on real-
time sales predictions. This automated approach significantly enhanced operational
efficiency, reduced manual errors, and improved decision-making processes.
Moreover, the user-friendly interface of CodeIgniter contributed to an
enhanced customer experience by ensuring seamless navigation and accessibility of
sales-related information. Overall, this study demonstrates the effectiveness of
integrating the linear regression method using CodeIgniter, leading to improved sales
prediction accuracy, streamlined operations, and enhanced customer satisfaction in the
online retail environment.
