Real-Time Pet Product Insights Platform

As a rapidly growing scale-up in the pet supplies industry, we are experiencing increasing data volume from various customer touchpoints, including our e-commerce site, social media channels, and retail partners. Our objective is to establish a robust real-time analytics platform that provides us with comprehensive insights into customer behavior and sales trends. The platform should be built using technologies such as Apache Kafka for event streaming, Spark for real-time processing, and Snowflake or BigQuery for centralized data storage. An MLOps framework should be implemented for deploying machine learning models that predict inventory needs and customer preferences. Additionally, tools like dbt, Airflow, and Databricks will be essential for data pipeline automation and data quality assurance. The success of this project will significantly enhance our decision-making capabilities, improve customer engagement, and optimize inventory management, contributing to increased sales and customer satisfaction.