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Real-Time Replenishment
Leverage Confluent’s data streaming platform to fulfill inventory demand at every physical node in the supply chain. Ensure timely and optimal availability of needed stock to optimize resources and achieve greater customer satisfaction.
Improve Accuracy and Speed of Replenishment with Streaming Data
Replenishment across a vast number of retail stores and hundreds of distribution centers is no easy feat. There's the sheer scale and complexity of global operations as well as infrastructure dependencies to support high throughput and reliable processing of billions of messages with high accuracy and zero data loss.
Confluent provides the streaming backbone to make this possible. Confluent enables organizations to ingest data from myriad sources in real time and use stream processing to detect when inventory falls below a certain threshold (for updating inventory positions, forecasts, safety stocks, lead times, and calendars). Downstream consumers can use streaming data to make rapid decisions and automate the creation of real-time replenishment orders – better catering to ever-changing customer behavior.
Reduce cycle time by leveraging real-time data around vendor and distribution center calendars.
Improve accuracy in inventory quality and quantity to deliver the right amount at the right time.
Simplify architecture so the same data can be leveraged by various consumers for real-time decision-making.
Increase supply chain efficiency by optimizing every delivery trip from every distribution center.
Improve elasticity and scalability to quickly cater to new requirements at optimal cost.
Build with Confluent
This use case leverages the following building blocks in Confluent Cloud.
Reference Architecture
Data is streamed through change data capture (CDC) and brought into a denormalized view so that it’s readily and quickly accessible.
Data is processed for nearly 100 million SKUs, in a planning engine that contains all the inventory positions, forecasts, safety stocks, lead times, and calendars, while considering all the constraints of the distribution centers, stores, and shipping methods.
Stream Governance ensures data quality, security, compliance, and scalable data compatibility between producers and consumers.