Old contracts become valuable data with AI.

Contracts and data

From paper archive to usable data

Mitsubishi Logisnext Europe had thousands of scanned contracts from decades of operations. The documents contained crucial information about customers, prices and terms, but it was locked away in PDFs and paper archives. Searching and retyping by hand took a lot of time and led to errors and duplicate work. It was also difficult to spot trends or produce reliable reports. The company wanted to turn the knowledge in all those contracts into usable data for analysis and decision-making, but without lengthy or expensive digitisation projects. That led to the wish to unlock historical documents intelligently with AI.

How AI brings old data to life

Together with Mitsubishi Logisnext Europe, Facilitech and SevenLab developed an AI solution that automatically reads, recognises and structures scanned contracts. The application combines OCR technology from Mistral AI with an AI agent that identifies relevant data, such as customer names, contract terms and amounts. This data is then stored in a clear database that fits into the existing contract overview. The system was trained and improved step by step with feedback from the teams, making recognition increasingly accurate. The result is a practical AI application that turns old documents into current information and immediately saves employees time in their daily work.

Reliable data as the raw material for decisions

Thanks to the AI application, Mitsubishi Logisnext Europe now has instant insight into thousands of contracts. What used to take days of manual work is now available within minutes. Teams save hours every day on searching and data entry, and work with more reliable data. Errors have been greatly reduced and decisions are made faster and on a better basis. The costs of manual processing have also fallen, while the quality of business information has increased. The collaboration between Facilitech, SevenLab and Mitsubishi Logisnext Europe shows how AI turns historical data into current management information and makes processes smarter and simpler, without any hassle.

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