1. Company Overview
A multinational corporation with a vast network of retail stores and online shopping platforms, specializing in consumer electronics and home appliances.
2. Business Challenges
The company faced challenges with real-time inventory management across different locations and an inability to scale during peak sales periods, leading to lost sales opportunities and customer dissatisfaction.
3. Solution
Provided Implemented Azure Data Lake for centralized storage, Azure Databricks for data processing, and Azure Synapse Analytics for scalable data warehousing. Integrated Azure Cognitive Services for advanced analytics and customer insights.
4. Solution Architecture
- Data Ingestion: Azure Data Factory for data movement.
- Data Storage: Azure Data Lake Storage Gen2.
- Data Processing: Azure Databricks.
- Data Orchestration: Azure Data Factory.
- Data Warehousing: Azure Synapse Analytics.
- Advanced Analytics: Azure Machine Learning and Cognitive Services.
5. Business
Outcome Achieved near real-time inventory updates, improved customer satisfaction by 30%, and increased sales by 20% during peak periods. The solution also enabled predictive stock management and personalized marketing campaigns.