Introduction
Forty percent of outbound trucks are departing with less than 90% capacity utilization. Twenty-five percent of companies have identified poor load optimization as a primary contributor to rising delivery costs. And 22% say inefficient truck loading is directly affecting their ability to meet last-mile delivery commitments. These are not fringe problems — they are the industry baseline for manufacturers, CPG producers, and distributors still relying on manual processes or outdated planning software.
ORTEC’s Future of Load Planning strategy guide examines what modern load planning actually looks like when automation, 3D optimization, and AI-driven analytics replace the guesswork. Drawing on industry survey data from over 2,500 logistics professionals and a detailed case study from Benjamin Moore, the guide maps four distinct optimization scenarios where carton, pallet, and load space optimization create measurable improvements across transportation, warehouse, and customer service outcomes.
You Will Learn
- What industry survey data reveals about the current state of load optimization — and how far most organizations still are from where they need to be
- Why the biggest barriers to efficient load planning are not strategic but operational: inadequate software, order processing delays, and lack of real-time warehouse visibility
- How demand-based and FTL planning upstream — before orders are created — can unlock utilization rates above 99% across mixed-weight product ranges
- Why embedding load optimization at the order entry stage improves capacity planning, transport procurement, and warehouse processes simultaneously
- What makes multi-stop pallet and load optimization so complex, and how automation resolves conflicting goals across picking, loading, routing, and customer requirements
- How warehouse optimization changes the quality and consistency of pallet builds — not just for experienced staff but for new and seasonal hires using predefined business rules
- The full benefit spectrum across cost reduction, quality, sustainability, safety, and reporting that carton, pallet, and load optimization unlocks
- How Benjamin Moore implemented ORTEC’s Load Building for SAP solution to achieve ROI in under one year while exceeding sustainability targets
- Why load building is evolving from a warehouse task into a strategic planning capability with enterprise-wide implications
- What organizations that have already adopted AI-powered load planning are seeing in terms of shipment reduction, fuel savings, and customer satisfaction improvement
Strategic Insight: Load Planning Is a Strategic Decision, Not a Warehouse Task
The Survey Data Reveals a Gap That Is Costing Real Money
A quarter of organizations are still treating poor load optimization as an unavoidable operational reality rather than a solvable planning problem. Yet only a quarter have successfully implemented AI-powered load planning solutions — meaning the majority are competing on routes, pricing, and service levels while leaving utilization inefficiencies in place that directly inflate their cost per delivery. With fuel prices volatile, delivery speed expectations rising, and sustainability commitments requiring fewer trips, the organizations that close this gap now are building a structural cost advantage that compounds over time.
Optimization Before Order Creation Is the Highest-Leverage Starting Point
Most companies approach load optimization at the point of load building — after orders are already fixed. Demand-based and FTL planning moves optimization upstream, before orders are created, treating available capacity as a planning input rather than a constraint to work around. An optimizer given a list of products to ship across multiple days — balancing weight and volume across diverse product ranges, from heavy canned goods to lightweight cereals — can achieve weight utilization above 99% and volume utilization above 90% across multiple transports while staying within legal axle limits. That is not an incremental improvement over manual planning — it is a categorically different outcome.
Order Entry Is a Planning Moment Most Organizations Are Wasting
When load optimization is embedded at the order entry stage, sales teams and customers can see capacity utilization in real time before an order is confirmed. Shipping quantities can be adjusted to avoid empty space or prevent overloading. The optimizer can suggest additional product quantities to fill remaining capacity. Transportation requirements become visible the moment an order is entered — which means capacity planning, transport procurement, and warehouse staging all benefit from the same decision that currently generates none of that downstream intelligence. This is a low-disruption, high-impact starting point for organizations not yet ready for full planning integration.
Consistency at the Warehouse Level Is a Business Outcome, Not Just an Operational One
In non-automated warehouses, load quality varies from employee to employee. Experienced pickers build better pallets; new and seasonal hires do not. The result is damage, inefficiency, and inconsistent customer experience that is rarely attributed to its actual cause. Pallet and load optimization changes this by giving every warehouse worker — regardless of experience — a precise, rule-compliant plan showing exactly where each item goes. First-time staging accuracy improves. Product movements decrease. The learning curve for new staff shortens. And the business gains a repeatable, auditable process rather than a dependency on individual expertise.
Governance and Challenges
The three barriers organizations most commonly cite to efficient load planning are inadequate software, order processing delays, and insufficient real-time visibility into warehouse operations. These are not independent problems — they compound each other. Without real-time inventory visibility, order consolidation decisions are made on stale data. Without load optimization embedded in ERP workflows, planning improvements cannot scale. Compliance requirements — axle weight limits, hazardous goods restrictions, customer-specific palletizing rules — add layers of constraint that manual planning cannot reliably honor at volume.
Implementation and Strategy
ORTEC recommends starting where impact is highest and integration complexity is lowest — typically at the load building or order management stage, using certified SAP-embedded solutions that work within existing ERP workflows rather than requiring parallel systems. The Benjamin Moore implementation demonstrates this path: beginning with a clear problem statement around under- and over-shipments, deploying ORTEC Load Building for SAP with 3D load visualization and AI-driven recommendations, and achieving ROI in under one year with post-go-live analysis confirming load compliance and safety improvements.
Who Should Read This
This strategy guide is essential for supply chain and logistics leaders in manufacturing, CPG, and distribution evaluating transportation cost reduction opportunities, warehouse operations managers responsible for pallet building consistency and labor efficiency, ERP and SAP implementation teams integrating load optimization into existing planning environments, and sustainability leads seeking to reduce shipment volume and carbon footprint through planning-stage decisions rather than post-execution measurement.
Download The Future of Load Planning from ORTEC to get the complete scenario analysis, Benjamin Moore case study, and benefit framework for building a load optimization strategy that improves transportation efficiency, warehouse consistency, and sustainability outcomes.
