Order Policy Redesign Saves $2.4M Annually in Shipping Costs
How data-driven ordering policy, consolidation rules, and real-time controls improved truckload utilization for a consumer products supplier and manufacturer
The Situation
This consumer products supplier and manufacturer operated multiple manufacturing and warehouse locations, shipping to a broad base of retail and wholesale customers. The company’s shipping costs had been climbing steadily, and management suspected the root cause was poor truckload utilization — trucks were leaving facilities only partially full, effectively paying to transport air.
The challenge was systemic. Ordering patterns varied widely across the customer base, and no consistent policy governed minimum shipment sizes, order consolidation, or delivery scheduling. Some customers placed frequent, small orders that generated partially loaded trucks. Others placed large but irregular orders that made it difficult to plan efficient routes. The result: cube utilization was well below industry benchmarks, and shipping costs were eating into margins.
What ADecTec Did
ADecTec’s engagement began with a data-driven analysis of the client’s ordering patterns, product segmentation, and shipping practices. We examined every order–shipment combination to understand how customer behavior was driving shipping inefficiency.
The analysis revealed clear patterns: a segment of customers consistently placed orders that were too small to fill a truckload efficiently, while another segment’s ordering cadence made consolidation nearly impossible under existing policies. The problem wasn’t the trucks or the routes — it was the ordering rules.
ADecTec designed a tiered ordering policy that established minimum shipment sizes, defined customer tiers based on order volume and frequency, and specified the consolidation and scheduling rules for each tier. The policies were not arbitrary — they were optimized against the client’s actual shipment data to maximize cube utilization while maintaining customer service standards.
To ensure compliance, we installed dashboard alerts and automated alarms that flagged orders falling outside the new policy parameters. These real-time controls reinforced the new business rules and gave operations teams visibility into adherence across the customer base.
The Outcome
Truckload cube utilization improved measurably across the fleet. Customer service metrics improved because shipments became more predictable and consistent. The combination of better utilization, reduced shipment frequency, and optimized order policies delivered $2.4 million in annual savings.
Shipping and logistics optimization is a direct extension of ADecTec’s Productivity Improvement and Network Management services. The methodology — analyze the data, identify the structural drivers of cost, redesign the policies, and embed automated controls to sustain the improvement — applies to any operation where process design drives cost. Government agencies managing fleet operations, field services, or procurement logistics face the same structural dynamics and benefit from the same approach.