A medium-size toymaker wants to fulfill orders received during the peak season in December and process the orders in batches multiple times a day.
Flow do you implement this use case?
A medium-size toymaker wants to fulfill orders received during the peak season in December and process the orders in batches multiple times a day.
Flow do you implement this use case?
The best way to fulfill orders during the peak season in an efficient manner is to create batches of orders and send each batch for processing when it gets full. This approach ensures that orders are processed promptly as soon as a batch is ready, which can optimize the workflow by reducing latency and keeping the processing pipelines continuously active. This method dynamically adapts to varying order volumes and does not rely on fixed schedule intervals, which might not cope efficiently with the variable load typical of peak seasons.
Why not A?
Queue processors can queue task using Run in Background automation or Queue-for-processing method in activity, and it will run immediately or delayed based on type of queue processor. Queue processor does not suit current use case because it is required to process orders multiple times a day which can be configured in job processor, which is meant for this purpose
Job schedulers are perfect for these batch jobs which run at frequent and predictable increments, think of queue processors as more on demand processing