Feb 11, 2022
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Completed
Freight rate prediction software for a logistics and supply chain firm
$25,000+
4-6 months
Switzerland
2-5
Service categories
Service Lines
Artificial Intelligence
Software Development
Domain focus
Transportation & Logistics
Programming language
Python
Frameworks
Torch/PyTorch
Challenge
The client needed to make accurate freight rate predictions for the forwarding agents to rely on the system’s analysis. To solve it, the InData Labs team focused on finding hidden patterns in data; using alternative data sources; filtering data from outliers.
The client needed to make accurate freight rate predictions for the forwarding agents to rely on the system’s analysis. To solve it, the InData Labs team focused on finding hidden patterns in data; using alternative data sources; filtering data from outliers.
Solution
We used machine learning for freight rate prediction. We used the framework that processed data, made predictions, and retrained the models. We also developed a system to extract data from the client’s TMS (transport management system), provide insights on freight predictive rates and place it backwards.
We used machine learning for freight rate prediction. We used the framework that processed data, made predictions, and retrained the models. We also developed a system to extract data from the client’s TMS (transport management system), provide insights on freight predictive rates and place it backwards.
Results
Our team has advanced the client’s existing freight predictive rate solution significantly. The client has recognized our deep expertise in predictive analytics software development, commitment to excellence, and timely delivery.
Our team has advanced the client’s existing freight predictive rate solution significantly. The client has recognized our deep expertise in predictive analytics software development, commitment to excellence, and timely delivery.