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We analyze your historical order data and recommend the most optimal packaging box sizes to carry for order fulfillment. Using our proprietary optimization engine, we run millions of simulations to determine the most optimum mix of shipping box sizes that best meet your shipping and order fulfillment needs. This is determined by optimizing several KPI’s related to shipping costs, such as cube utilization per box, total shipped volume, number of boxes per order, percentage of boxes for which Dimensional weight is greater than actual weight, and the ratio of DIM weight to actual weight, to name a few.
We perform this analysis within the specific business rules/ guidelines of our clients (for example, min and max dimensions of the boxes based on the warehouse conveyor belt specs/shipping label specs), number of boxes the client wants to carry in the inventory, etc. Generally, we solve for the optimum box mix aiming at a target increase in improvement in cube utilization, reduction in shipped volume etc., such that there is a quantifiable improvement in packaging efficiency and reduction in shipping cost, that our analysis can be measured against.
In fact, Box Size Analysis is highly beneficial for achieving the best results from OSCO implementation, as you can achieve the right selection of the box for an order through OSCO, selected from the right mix of the boxes recommended through box size analysis for your specific historical order data.
Some of the industries that have utilized our services in reducing shipping costs, and improving packaging efficiencies include: Internet and catalog order companies, sports and hunting equipment, wholesale retailers and warehouses.