<?xml version="1.0" encoding="UTF-8"?>
		<www.jsetms.com>
		<Title>SAAS SUBSCRIPTION TREND DASHBOARD</Title>
		<Author>1Malleswar Rao, 2 G Asritha, 3 K Deekshitha, 4 B Srija, 5 P Manasa</Author>
		<Volume>03</Volume>
		<Issue>09</Issue>
		<Abstract>The SaaS Subscription Trend Dashboard is designed to analyze and visualize subscriptionrelated business data in an interactive and userfriendly format The system focuses on understanding subscription growth customer behavior revenue performance planwise distribution and subscription trends over different time periods Data such as customer details subscription plans subscription dates renewal status cancellations monthly recurring revenue and payment information can be organized and processed for analysis The dashboard presents important key performance indicators such as total subscribers active subscriptions new subscriptions cancellations churn rate and recurring revenue Timebased charts help identify subscription growth patterns and changes in customer demand Planwise analysis allows users to compare the performance of different subscription packages and identify popular plans Customer and subscription analysis can also help identify retention patterns and cancellation trends Interactive filters enable users to analyze specific plans customer segments and time periods Visual reports using charts graphs tables and KPI cards convert complex subscription data into meaningful business insights The dashboard can support SaaS businesses in monitoring performance understanding customer trends and improving subscription management strategies Overall the project demonstrates how data analytics and visualization can be used to develop an effective dashboard for monitoring SaaS subscription trends and supporting datadriven business decisions</Abstract>
		<permissions>
<copyright-statement>Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
		</www.jsetms.com>
		