A company serving the agriculture and construction industries was manually reviewing documents containing information on its 30,000 different parts and products. Infosys' AI-powered solution aimed to streamline this process.
The company had relevant information spread across hundreds of different format documents and vendor websites. They wanted to extract this information securely, as some of it was confidential. The main goal was to design a solution that could automate this extraction process.
Key Challenges
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Infosys started by carrying out extensive preprocessing on the parts and products information, which was fed into a large language model (LLM) to improve accuracy. Building on this, tools harnessing the power of Infosys Topaz were used to automate text extraction. These tools provide summarized specifications for thousands of products and spares, leveraging Microsoft Azure OpenAI along with an interactive UI hosted on AWS.
Diminished need for manual review: A 90 percent reduction in manual efforts by automating text extraction and content generation
Reduced processing time: Processing time plunged from 480 minutes per document of 60+ slides to under one minute
Low cost: The solution could be reused at no additional cost for any of the company’s summarization needs