K Srikanth, D Venkata Akash Babu, A Srijan, M Charvini 03 09 The Supply Chain Delivery Analysis and Prediction system is designed to analyze supply chain delivery data and predict delivery performance using data analytics and machinelearning techniques In modern supply chains timely delivery is essential for maintaining customer satisfaction reducing operational costs and ensuring smooth business operations Delays can occur due to factors such as transportation problems warehouse processing time inventory availability weather conditions route distance supplier performance and order volume The proposed system collects historical supply chain information such as order details product category supplier warehouse order date shipping date delivery date transportation mode distance shipping cost delivery status and delay information The collected data is preprocessed to handle missing values duplicate records inconsistent information and categorical attributes Exploratory Data Analysis is performed to identify delivery patterns delay trends supplier performance transportation efficiency and warehouserelated issues Data visualization techniques are used to represent delivery times delayed orders supplier performance transportation modes and monthly delivery trends through charts and dashboards Relevant features are selected and transformed into a suitable format for machinelearning models Classification algorithms such as Logistic Regression Decision Tree Random Forest Support Vector Machine and Gradient Boosting can be used to predict whether an order is likely to be delivered on time or delayed Regression algorithms can also be applied to estimate the expected delivery duration when sufficient historical data is available The trained models are evaluated using suitable metrics such as accuracy precision recall F1score ROCAUC MAE RMSE and R depending on the prediction objective The system provides analytical reports and prediction results that can help supply chain managers identify potential delivery delays and take preventive actions Overall the Supply Chain Delivery Analysis and Prediction system combines data analysis visualization and machine learning to improve delivery planning reduce delays optimize logistics operations and support datadriven decisionmaking in supply chain management Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026