Replenishment Load Optimization: How a Mid-Sized CPG Company Achieved Max Savings with Project “Max Load”
Executive Summary – Replenishment Planning for All Economic Cycles
A $600M consumer goods shipper’s “Max Load” program shows how maximizing every truck’s capacity cuts costs, protects capacity, and lowers emissions – whether trucks are scarce or abundant.
Challenge
Underfilled replenishment loads waste capacity, raise freight costs, and increase Scope 3 emissions.
solution
Align load planners and truck loaders through accurate item data, clear loading guides, shared visibility, real-time adjustments, cross-training, and joint KPIs – supported by 3D load visualization and dynamic optimization tools.
results
- 8% payload increase (4 fewer trucks/week)
- $22K weekly transportation savings
- 8% lower CO₂ emissions per ton-mile
Bottom Line: Max Load turns planning–execution alignment into a strategic advantage for cost, capacity, and sustainability in any market cycle.
Replenishment planning for all economic cycles
Think of this article as a guide to how Load Planners and Truck Loaders can boost cost savings, capacity, and sustainability – in good times when trucks are plentiful – and bad times when trucks are scarce. We see this through the lens of a $600 million consumer goods shipper. They call their multi-year program “Max Load”.
Every truck counts. Each truck counts against cost, sustainability, and service targets. In our case study, faced with a tight transportation market, rising freight costs, and increased pressure for sustainability, achieving max load was not just a “nice-to-have” – it was and continues to be a strategic necessity.
Even when trucks are plentiful, fully optimizing each truck’s capacity enables our company to move more freight with fewer trucks – reducing costs, avoiding capacity bottlenecks, and lowering Scope 3 emissions. But achieving max load consistently requires close collaboration and communication between the load planner, who designs the load strategy, and the truck loader, who executes it.
What follows is how our case study company aligned planning and loading teams to deliver maximum utilization, fewer trucks on the road, and measurable cost, service, and environmental benefits.
The Shipper’s Challenge: More Freight, Fewer Trucks
Some years, shippers face pressure from rising demand and a limited trucking market. Driver shortages, equipment scarcity, and volatile fuel prices mean that securing a truck on time isn’t always certain – and when one is available, it’s often at a high cost.
Every underfilled replenishment truck decreases the overall capacity of the system. Even large companies like Unilever face these issues. They highlighted this in a CSCMP session in 2022, stating that minimizing the number of deployment loads is a strategic goal because it frees up capacity to serve customers. A load that’s only 80% full means 20% of that capacity is wasted, and another truck must run to move the remaining freight. This increases costs and emissions.
Every year, companies face pressure to cut costs. The entire supply chain is often not viewed as a competitive advantage, but it’s always seen as a cost center by senior management. Therefore, any cost reduction is welcomed. Simultaneously, those responsible for achieving sustainability goals are constantly seeking ways to lower and improve carbon emissions. Generally, replenishment truck emissions are categorized as “Scope 3” emissions, and they are among the hardest to reduce. This was very true for our case-study company.
That’s why max load was so critical. They saw the opportunities as:
- Fewer trucks needed – Fully using space and weight limits helps shippers cut the number of trips
- Lower Transportation Costs – Fewer trips reduce expenses on freight, fuel, and surcharges
- Reduced Scope 3 Emissions – Increasing truck utilization directly lowers CO₂ emissions per unit shipped
The Load Planner’s Role in Maximizing Loads
A load planner is the architect of load efficiency. Like most shippers, this role mainly focuses on maximizing service rather than loads. Some load planners in our case study had never visited a production plant and didn’t understand the benefits or headaches their work caused.
This needed to change, but in a balanced way. Ensuring freight moves in the most cost and carbon-efficient manner must be a goal. Although, in most cases, customer service in the form of in-stock availability will always take precedence.
- Designing load configurations that use every available inch and pound all while respecting legal and safety limits, and ensuring the shipment can be loaded and arrive without damage
- Sequencing loads to align with delivery schedules without sacrificing utilization
- Adjusting plans dynamically to respond to late or missing freight
For all shippers, having a skilled load planner or someone equipped with effective load optimization and load diagramming tools isn’t just an operational requirement; it’s a competitive edge. But our case study company hasn’t reached that point yet.
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The Truck Loader’s Role in Protecting and Executing the Plan
While load planners develop the strategy, truck loaders bring it to life. Their ability to execute the load plan accurately determines whether the truck leaves the dock with everything the Load Planner ordered or if some essential item for customer orders is missing.
From most shippers’ perspectives, the truck loader is the last line of defense against wasted capacity. They:
- Physically ensure the load fits as designed, adjusting when freight conditions change
- Maintain safety and product integrity while maximizing the use of available space or weight capacity
- Suffer from poor or no guidance on where to place the product on each trailer to ensure legality. They need but don’t get load diagramming assistance that defines item placement while maximizing productivity, such as loading two pallets stored close to each other so they can be retrieved at the same time.
Loaders should provide feedback to load planners when a plan needs refinement. It seldom (never) happened in our case study.
Max Load Potential
Our subject company failed to meet their max load targets because:
- Load plans didn’t accurately reflect real-world freight conditions like what stacks on top of what.
- Load planners simply didn’t know
The item master data was inaccurate and, in many cases, incomplete - Load planners built the loads to what they perceived as a truckload (40,000 pounds), while truck capacity was mostly above 45,000 pounds
- Plans were not tailored to maximize the value of light-weight carriers
- When load targets were increased to be more realistic, loaders – who as a group had high turnover rates – frequently misconfigured the loads, causing them to come back to the dock to be reloaded. This led to a “discussion” with the plant demanding the load targets be lowered and management pushing back
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The result: more trucks on the road, higher transportation costs, and unnecessary emissions.
Bridging the Gap: The Collaboration Framework
For our case study company to maximize the benefits of max load, they needed to ensure the load planner and truck loader had clear guidance. Here’s how:
- Fixed the item master – weighed and measured each item to ensure the values were accurate in the system of record and the warehouse management system
- Provided loaders with clear rules – to replace ‘tribal knowledge’, they extended the loaders’ guide from this website <<Add reference to it here>>. It formed the basis for a tailored guide to loading a truck
- Shared Visibility and Real-Time Data
- Provided truck loaders with access to the same load plans and freight specifications as load planners, and gathered their feedback
- Provided loaders with 3-D load diagrams that recognized and adapted to the physical characteristics of both the container and the product. For example, for products that overhang the pallets they are shipped on, which did not fit neatly into older, narrower trailers, the loading pattern was adjusted to a pinwheel.
- Pre-Load Validation – checked ATP (Available to Promise) to confirm freight readiness. No sense building loads where the inventory would not be available
- Dynamic Plan Adjustment – enabled planners to modify loading instructions in real time when faced with last-minute changes. This is preferably done before release to the WMS. Also, enable the warehouse to adjust shipments if product is missing or damaged. Making this an easy/seamless adjustment is a critical enabler.
- Cross-Training – have load planners spend time on the dock to experience loading challenges firsthand. Have truck loaders shadow planners to understand their challenges and the cost impact
- Shared performance metrics – measured max load success rates as a joint KPI for both roles, incentivizing collaboration
Technology That Supports the Shipper’s Max Load Goals
Like many shippers who deploy unitized cargo, our case study company leverages technology to close the gap between planning and execution:
- 3D Load Visualization – helps loaders see exactly how freight should be placed
- Loading Assistance that Recalculates when Things Change – provides guidance on their WMS terminals – no need for paper or the need to have an advanced degree in architecture
- Load Optimization Flexibility – enables the loader to substitute other products if a shortage occurs – for example, if a pallet is damaged or put on hold
Max Load Results
Achieved the 5% savings goal with room to spare:
Increased payload by 8%, allowing the shipper to remove 4 trucks per week from service
Saved an estimated $22,000 per week in transportation costs
Reduced Scope 3 CO₂ emissions by 8% per ton-mile
For Shippers – Max Load = Fewer Trucks, Lower Costs, Lower Emissions
The key to consistently maximizing loads is reinforcing the systematic connection between load planners and truck loaders, making sure that every load plan is both theoretically optimal and practically achievable.
By investing in communication, technology, and shared accountability, other shippers can move more freight with fewer trucks – reducing costs, protecting capacity, and lowering Scope 3 emissions in one strategic move.