Volume Based Pick Batch Generator
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Volume Based PB Generator
KLUXIN | QA
CMR Generator
POD Downloader
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Volume-Based Pick Batch Preparation
Manual batching methods before the picking often lead to inefficient pallet utilization, excessive planning time, and avoidable transport costs. Our volume-based pick batch generator introduces a fully automated, data-driven approach that groups orders by actual product volume and operational constraints. This ensures optimal pallet fill rates, compliance with Value-Added Service (VAS) requirements, and a significant reduction in human error across the entire process.
By integrating advanced permutation logic, getting the volume of the items in the order and the system identifies the most efficient way to consolidate orders, ensuring every pallet is used to its full potential. The tool accounts for VAS constraints, shipment rules, and station capabilities — delivering a consistent and scalable batching process that reduces operational overhead and improves throughput across all warehouse zones.
Design Features
Engineered for high-volume logistics environments, our solution offers an intuitive interface combined with powerful logic under the hood. It requires minimal user input to produce highly optimized batches, with full traceability and configuration control. From day one, planners and operators can rely on automated outputs without the need for manual intervention or deep system knowledge.
Technology Features
The software leverages high-performance algorithms to evaluate hundreds of thousands of batch permutations in seconds. It considers actual volume dimensions, product-specific handling constraints, and predefined consolidation logic. The result is an automated batching process that not only increases warehouse efficiency but also supports sustainable logistics through reduced material usage and lower transportation frequency.
What it brought to the table?
It has been developed in where there are high volume of orders and different size of products, and the need for efficient batching is critical before picking. The tool has been successfully implemented in a leading logistics company, significantly improving their operational efficiency and reducing costs associated with manual batching processes.