Real-Time Postal Delivery Data Pipeline Enhancement

In the competitive postal services industry, timely and accurate delivery is key to customer satisfaction and retention. Our company is currently experiencing delays in data processing that impact our ability to make informed decisions swiftly. This project involves developing a robust real-time data pipeline to collect, process, and analyze delivery data, enhancing operational efficiency and customer experience. We are looking to integrate technologies such as Apache Kafka for event streaming, Apache Spark for processing, and Snowflake for data storage. The pipeline will facilitate real-time tracking of parcels, predictive analytics for operational decision-making, and improved delivery estimates for customers. By implementing this solution, we aim to reduce delays, optimize routes, and anticipate delivery issues, thereby ensuring a competitive edge and regulatory compliance. The project is expected to be completed within 8-12 weeks, with a budget of $25,000 to $75,000.