A strategic approach to grouping and sequencing warehouse orders into logical batches called “waves” that optimize picking efficiency and resource utilization. This process considers factors such as order priority, delivery schedules, product locations, picker availability, and equipment capacity to determine the optimal timing and composition of each wave release.
Effective wave planning significantly improves warehouse productivity by reducing travel time, minimizing congestion in picking areas, and ensuring orders are completed in the correct sequence to meet shipping deadlines. It also enables better workforce management by distributing workload evenly across shifts and zones.
For example, a wave might combine all priority orders due for morning delivery with standard orders heading to the same geographic region, allowing pickers to efficiently gather items from the same warehouse areas while ensuring time-sensitive shipments are processed first. Modern WMS solutions automate wave planning using advanced algorithms that continuously optimize these decisions based on real-time warehouse conditions.
