Going forward with Aiven
The next technical step for Swift is to implement their Warehouse Management System 2.0: start using Aiven for Apache Kafka with Apache Kafka Connect to stream warehouse data into BigQuery. This way they can implement advanced horizontal logistics collaboration (HLC) with the larger Tokopedia ecosystem.
BigQuery data flowing through the system includes operational delivery and warehouse data but also monitoring and metrics, leading to a better overall view of the status of the supply chain.
This will enable them to create operational and executive dashboards, plus a recommendation engine that will enhance integrated business planning, putaway processes and supply chain orchestration.
Another future improvement will be implementing change data capture (CDC) so that their sync with BigQuery can be continuous instead of hourly. This will let every end user get their delivery information in real time, all across the Tokopedia ecosystem.
But the most exciting news is yet to come. Swift’s data solution is getting to be so robust and extensible that they’re planning to offer their Warehouse Management System (WMS) to other Dilayani Tokopedia and Tokopedia partners to use, too. “That’s going to be huge,” Alfi says. “We’ve planned to utilize Aiven’s data infrastructure to scale and roll it out properly.”
With Aiven, they can scale up so quickly and easily that it frees them from worrying about capacity and carrying the risks of initial investment.
So the future’s looking bright and headache-free for Swift. “With the great help and support from Aiven, we can keep our infrastructure stable, scale our business fast, and keep control of our data,” Alfi says. “That’s the key.”