User Creates Plan
A load plan is created with a specific number of cartons (e.g., 652 packages).
Solver vs Advisor
How Advisor Maximize Container Volume
The Solver strictly follows user-provided carton counts. In contrast, the new Advisor feature intelligently identifies and fills empty space, revealing the true potential of every shipment. It suggests additional quantities that users might have initially overlooked.
The Challenge: The 68 CBM Mindset
For years, a common perception has limited the efficiency of container shipments: the belief that high-cube containers cannot be filled beyond approximately 68 Cubic Meters (CBM). This mindset often leads to deliberately conservative input quantities during load planning.
The consequence is significant: valuable container space remains unused, translating directly into wasted shipping costs and missed opportunities for maximizing freight efficiency. This deliberate under-utilization stems from historical manual planning limitations and a cautious approach to avoid overstuffing.
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Limited Inputs
User inputs are capped below true container potential.
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Wasted Space & Cost
Paying for empty air in every shipment.
The Solution: The Intelligent Capacity Maximizer - Advisor
To address the challenge of underutilized space, we developed the LoadViewer Advisor. This intelligent, proactive feature goes beyond simply optimizing given inputs; it actively identifies and suggests additional quantities to fill every available cubic meter, ensuring you get the most out of your freight spend.
The Advisor empowers you to break the 68 CBM barrier and unlock the true, often underestimated, potential of your containers. Once you visualize the Advisor's outcome, you'll definitely break the 68 CBM mindset – after all, everyone enjoys seeing a tree laden with fruits rather than a tree with more leaves than fruits! It represents a significant leap forward in maximizing your shipping efficiency and demonstrating greater value.
Key Benefits for Your Organization:
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Financial Savings
Significantly reduce per-unit shipping costs by maximizing container utilization.
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Operational Efficiency
Achieve more with fewer shipments, streamlining your logistics.
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Environmental Impact
Reduce your carbon footprint by optimizing space and minimizing empty runs.
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Strategic Advantage
Gain a competitive edge through smarter, more cost-effective shipping.
Case Study: A Standard High-Cube Container
Let's look at a recent example where the Advisor demonstrated its power. A user planned a shipment with a set number of cartons, believing the container was full. The Solver optimized this plan. Simultaneously, the Advisor analyzed the same shipment to find opportunities for improvement.
Initial Plan vs. Advisor Potential
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Container Capacity:
74.99 m³ / 28,600 kg
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User-Provided Cartons:
652 Packages
Solver
88.79%
Volume : 66.583 m³
Advisor
94.46%
Volume : 70.841 m³
Performance at a Glance
The Advisor's plan achieved significantly higher volume utilization by optimizing the available container space. Let's break down how.
The "Wasted Opportunity"
The difference between the two plans represents a tangible loss in efficiency and a missed opportunity for cost savings. The Advisor successfully identified space to add 43 more packages.
+43
Additional Packages
4.258 m³
Additional Volume
+5.67%
Volume Utilization Gain
Rs. 10,645
LCL Cost Saved
1 Hi-Cube
Saved after Every 16
1 TEU
Saved after Every 8
1,066 kg of CO2
Emissions reduced every 8 TEUs
42.64 Trees
Lesser Required every 8 TEUs
Package Breakdown: How We Filled the Gaps
The Advisor strategically added more of both carton types to the load plan, demonstrating that more capacity was available than initially assumed.
Download Solvers's Plan (159 kb) Download Advisor's Plan (171 kb)
From Plan to Profit: The Advisor Workflow
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Solver & Advisor Run
The Solver optimizes the user's plan. Simultaneously, the Advisor re-evaluates for hidden capacity.
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Review & Revise
Compare the two reports. The Advisor's higher score highlights an opportunity.
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Maximize & Ship
Adopt the Advisor's suggested plan, increasing efficiency and reducing per-unit cost. Otherwise, if there is no possibility of Quantity revisions in current shipment than revise the future similar orders.