Data engineering and ML case-studies

Azure Data Service and Azure Machine Learning models for world’s leading Ecommerce giant for electronics and home appliances.

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.

CloudZen is a leading Europe-based data engineering and Software Automation firm dedicated to crafting bespoke digital solutions for businesses worldwide.