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SC Codeworks H1 2026 Data Reveals Faster, More Efficient Supply Chains Despite Rising Costs

By FisherVista
SC Codeworks' H1 2026 freight data shows the logistics industry is moving faster and more efficiently, with order-to-ship times down 34% and improved LTL consolidation amid rising transportation costs.
SC Codeworks H1 2026 Data Reveals Faster, More Efficient Supply Chains Despite Rising Costs

SC Codeworks, a provider of warehouse management software for logistics operators, has released its H1 2026 supply chain performance data, revealing a logistics industry that is becoming faster, more efficient, and increasingly resilient despite ongoing economic and transportation challenges. The data, drawn from the company's platform, shows significant year-over-year improvements in key metrics, indicating a sector adapting to pressures rather than merely surviving them.

According to the report, total freight orders increased 6.9% year over year during the first half of 2026, signaling continued demand across the logistics sector. June recorded the strongest monthly performance, with freight orders climbing 14.6% compared to June 2025. Concurrently, average order-to-ship cycle times fell dramatically, decreasing 34% year over year from 19.76 days in H1 2025 to 13.04 days in H1 2026. This trend suggests that businesses are placing orders closer to actual demand while expecting significantly faster warehouse execution, reflecting a more agile and responsive supply chain environment.

The report also found that warehouse operators became more efficient in consolidating less-than-truckload (LTL) shipments during a period of elevated fuel costs. From January through April 2026, average orders per consolidation load increased 19%, rising from 4.87 to 5.79 orders per load. High-density loads carrying 20 or more orders grew from 5.2% of all consolidations in January to 6.5% in February, remaining elevated through April. Overall shipped LTL volume increased 26%, while consolidation rates remained consistently between 74% and 75%, demonstrating that operators maintained shipping discipline even as freight volumes increased. These trends coincided with a significant increase in diesel prices following geopolitical disruptions earlier this year, suggesting organizations responded by maximizing trailer utilization instead of increasing truck deployments.

The implications of these findings are substantial. For shippers and consumers, faster order-to-ship times mean reduced lead times and improved inventory turnover, potentially lowering carrying costs and enhancing supply chain responsiveness. For warehouse operators, the increased consolidation efficiency indicates a strategic shift toward optimizing existing assets rather than expanding fleets, which can mitigate the impact of rising fuel costs on profitability. This operational adaptability is crucial as companies navigate a volatile economic landscape marked by geopolitical disruptions and inflationary pressures.

“The data tells a clear story. Companies are compressing their planning horizons, ordering closer to actual need and expecting the supply chain to keep pace,” said Amy Dean, Vice President of Operations at SC Codeworks. “On the LTL side, operators are responding the right way, packing more work into every load rather than adding trucks. And underneath all of it, volume is growing. That combination tells us the logistics industry is not just surviving a demanding environment. It is adapting to it.”

SC Codeworks, headquartered in Columbus, OH, offers multiple warehouse management system platforms, including Codeworks Essentials and Codeworks Enterprise, which can be tailored to meet the needs of warehouse logistics companies of all sizes. The company has received recent recognitions from the Institute for Supply Management's Supply Chain Trailblazer Awards, Inbound Logistics' Top 100 Logistics & Supply Chain Technology Providers list, and the SupplyTech Breakthrough Awards as Warehouse Automation Platform of the Year. For more information, visit https://www.sccodeworks.com/.

FisherVista

FisherVista

@fishervista