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@article{178141,
        author = {Sandeep and Veera.R. and Lokeshwar.B and MS.S. AARTHI},
        title = {E-Commerce Sales Analysis Dashboard:  Real-Time Analytics for Business Growth},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2876-2884},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178141},
        abstract = {Developing a real-time analytics dashboard that enables e-commerce businesses to track and optimize sales, customer behaviour, and marketing strategies for data-driven decision-making. The dashboard includes sales tracking (total revenue, orders, conversion rates), customer insights (new vs. returning customers, lifetime value), product performance (best-selling items, inventory levels), marketing analysis (traffic sources, ad performance), and operational efficiency metrics (order processing, returns, shipping).The system leverages real-time APIs and data streaming technologies to provide live updates on key performance indicators (KPIs), enabling businesses to adjust their strategies quickly. Data visualization tools like Power BI enhance usability and decision-making.
By offering real-time sales analytics, customer segmentation, and marketing ROI tracking, the dashboard helps businesses identify growth opportunities, reduce inefficiencies, and improve overall customer engagement, leading to increased profitability. The product performance module helps businesses understand what products are the best sellers, how much inventory they have left, and what the return rates look like, ensuring they understand product life cycle and stock management. The dashboard is combined with marketing analytics, allowing for insights on click-through rates and other variables based on traffic source (organic, paid, social, referral). It determines response and key performance indicators for campaigns and ads, including return on ad spend (ROAS) and cost per acquisition (CPA), to support marketing teams in better spending and high performance. The information in the dashboard extends across operational efficiency metrics, including order processing times, shipping times, return rates, and fulfillment accuracy, and KPIs, providing operational teams with critical bottleneck information, and providing insight on logistics workflows and customer service.},
        keywords = {Machine learning, K-means clustering, E-commerce, RFM model, Customer Segmentation. Customer Behaviour analysis, Data-driven decision making, Sales performance tracking, Marketing ROI.},
        month = {May},
        }