Applying Data Science Techniques to
Logistics and Supply Chains

In the global economy, the profitability of large retail suppliers and buyers increasingly depends on logistics, encompassing supply chain and warehouse management, workforce planning, demand forecasting and more. Through specialized teams of data science professionals, DataPrime modernizes logistics at every level of your organization for better outcomes.

Plane cargo ship

AI in Logistics

Today, the application of advanced science techniques – including machine learning (ML) and artificial intelligence (AI) – has revolutionized logistics, giving rise to new forms of automation and micro-optimization.

65% – Industry leaders who believe that advanced logistics have ushered in “profound transformation”.

40% – The expected increase in productivity from AI by 2035.

36% – Organizations who have successfully adopted AI for logistics and supply chain processes.


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Applications

Advanced data science applications in logistics leverage the predictive power of AI and ML to drive optimized processes, improved customer experience, and superior insights through a better understanding of success factors and more accurate supply chain modeling. By analyzing historical performance and sensor data in real-time, every area of logistics can be transformed – from warehouse management to supplier relationships.

Ocean Cargo

Air Cargo

Rail Freight

Distribution & Manufacturing

Forecasting

Pricing

Network Optimization

At DataPrime, we combine AI with human expertise to find the right data scientists for your business. We deliver specialized capabilities for applications in logistics, including Advanced Image Recognition, Adversarial Neural Networks, Data Mining, Analytics and more.

Harness the power of data science to meet your goals by partnering with DataPrime today.

Get started with DataPrime today