Unstructured and inconsistent customer order forms
Technical Demand Conditions (TDCs) vary widely across global customers and often contain complex, industry-specific terminology that is difficult to interpret manually. On average, operators spend more than two days standardizing a single document, and inconsistencies between reviewers can lead to errors, missed details, and reduced output quality.
Domain-aware AI agent for automated form standardization
Domain knowledge related to customer order requests was systematically captured and used to fine-tune specialized Large Language Models (LLMs). These models power an AI agent capable of understanding context-specific terminology and generating standardized TDCs automatically from diverse, unstructured formats.
Up to 60% reduction in processing time
By automating draft generation for standardized TDCs, the AI agent reduced processing time by as much as 60%. It minimized operator variation and human error, enabled parallel processing of multiple documents, and greatly improved operational consistency and overall productivity.
