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“There are many areas of our warehouse operations where Optioryx's solutions helped us improve efficiency. “
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How Does the Warehouse
Picking Calculator Work?
Explore how warehouse teams around the world use AI.
1. Analyze Warehouse Picking Data
2. Calculate Potential Savings
3. Outline Optimization Payback Time
Why Optimize Picking?
Productivity
Costs
Before and After Optimizing
Order Picking
Do more with the same team by applying intelligent clustering and routing to optimize your order picking in your warehouse.
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Questions?
Order picking optimization is the process of improving the efficiency, speed, and accuracy of retrieving items from warehouse storage locations to fulfill customer orders. Order picking typically accounts for 55% of total warehouse operating costs and can consume up to 60% of the entire fulfillment process time. By optimizing picking operations, warehouses can reduce travel distances by 15-40% and increase throughput by 25% or more.
Travel reduction refers to fewer walking and driving meters/minutes needed to complete the same set of picks, usually by changing how work is batched and in what sequence locations are visited.
Reducing walking and driving means pickers spend less time moving and more time picking. That lets you ship the same volume with fewer labor hours, cut overtime, or handle peak demand without adding extra staff.
Order picking efficiency is affected by factors such as warehouse layout, your order and item profile, your order cluster or grouping restrictions (the more orders you can group together, the more efficient you will be) and lastly the current way of order picking.
Pick path optimization calculates the best route through the warehouse for a specific pick list, based on the actual layout and movement rules.
Order clustering groups orders into tours that can be picked together while respecting constraints like cart/tote capacity, due times, and zones. Done well, it increases pick density.
Cross-aisle placement, aisle width, one-way rules, and the distance between pick zones and packing/shipping directly change travel time and congestion.
For an average warehouse with 10 pickers working 8-hour shifts at $20 per hour, the annual labor cost for picking alone exceeds $400,000. When you factor in equipment, supervision, and overhead, the true cost canreach $600,000-$800,000 annually. This makes picking optimization one of the highest ROI opportunities in warehouse management, with potential savings of$80,000-$200,000 per year through travel reduction and productivityimprovements.