GravityCargo
“Where Spatial Intelligence Accelerates Load Intelligence
Created on 23rd February 2025
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GravityCargo
“Where Spatial Intelligence Accelerates Load Intelligence
The problem GravityCargo solves
In the logistics industry, inefficient cargo loading leads to wasted space, increased transportation costs, product damage, and higher carbon emissions. Traditional cargo placement methods rely on manual planning or basic algorithms that do not consider real-time environmental factors, weight distribution, or optimal space utilization.
For example, in large-scale retail distribution centers, improper cargo stacking can result in:
30% underutilization of container space, leading to more trips and higher fuel costs.
Product damage due to poor weight distribution, especially for fragile and temperature-sensitive goods.
Regulatory non-compliance, as improper cargo loading may violate weight and safety regulations.
Increased carbon footprint, as inefficient loading leads to more vehicles on the road.
Challenges we ran into
Challenges We Faced
Slow Optimization Process – Genetic Algorithm (GA) took too long to find the best cargo arrangement. If we made it faster, the results were not always efficient.
Cargo Constraints – GA sometimes ignored real-world rules like weight balance and fragile items, leading to unsafe placements.
Weather-Based Adjustments – Temperature-sensitive goods needed special placement, but GA did not consider weather. We used Open Source Resources (OSR) for weather data, but it was difficult to integrate.
How We Solved Them
Faster Optimization – We adjusted GA to stop early when a good-enough arrangement was found, making it quicker while keeping efficiency.
Fixing Cargo Constraints – We added a separate check after GA to correct any unsafe placements while keeping the best arrangement.
Weather Handling – Instead of adding weather rules to GA, we first optimized cargo with GA and then adjusted placements for temperature-sensitive goods using OSR weather data.
Tracks Applied (1)
Open Innovation
Technologies used