Real-Time Data Monitoring for Retail
Minimize data silos and access real-time data by integrating diverse data sources and locations into a centralized system with Confluent Cloud. Increase your data's value through efficient stream processing tools that transform data instantly, enabling your organization to observe data trends in real-time via a visualization dashboard.
Gather data from multiple sources and display it through a visualization dashboard in real time
Access to real-time data enables organizations to manage inventory and dead stock effectively while also assisting the marketing team in developing timely campaigns and promotions for the right target customers.
Benefits of real-time data monitoring allow you to:
Enhance inventory management with real-time data to reduce dead stock.
Integrate your data from various locations and store data in Confluent Cloud easily with pre-built connectors.
Reduce the burden of maintaining hardware so you can spend time innovating your business.
Build with Confluent
This use case leverages the following building blocks in Confluent Cloud:
Streaming Architecture
Data Architecture
Streaming Architecture
Integrate RDBMS source systems with Confluent Cloud using CDC source connectors. Filter/join/aggregate data with stream processing tools such as Flink or ksqlDB. Integration application consumes data from Confluent Cloud topics and sends it to a visualization dashboard.
Fully managed Debezium connectors are used to capture real-time data from PostgreSQL and SQL Server databases.
Join, enrich and aggregate data in real time to create actionable insights.
Partner’s proprietary integration service to power real-time dashboard in Tableau.
Data Architecture
Products, Inventory, and Orders topics are joined to created enriched topics. The subsequent Order_enriched topic is then aggregated, creating data products that can be used downstream.
Data products include Total_order_by_product, Total_order_by_brand, and Order_enriched.
Resources
Contact Us
Contact MFEC to learn more about this use case and get started.