AI case studies in Manufacturing

Explore Brainpool's AI and machine learning projects tackling manufacturing and operational challenges. From reducing waste in hard-drive production to using data to inform freight investment decisions, these examples show how AI can turn complex operational data into useful insights and support more efficient processes.

2 case studies

Manufacturing

Waste reduction in hard drive manufacturing

The challengeSensor data from a 60-day wafer manufacturing process was too large to analyse in time, with failure rates of up to 10%.

The outcomePredictive ML system to forecast changes in the manufacturing environment

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Manufacturing

LLM in freight investment

The challengePricing freight shipments accurately using data such as shipping congestion, seasonality and cargo type.

The outcomeStrategy to integrate “Freight GPT” into the trading platform

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ManufacturingLLM in freight investmentBrainpool team of AI consultants designed a strategy to integrate the "Freight GPT" AI system into the Freight Trading Platform to improve accuracy and efficiency of its operations.The AI model was designed to accurately price each shipment based on various data points available, such as shipping congestion, seasonality, cargo types.AI assistant will disseminate information to users, with an initial focus on specific ports in the South China Sea and another undisclosed location.Back

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