AI-based Approach to Efficient Information Extraction for Supply Chain Contracts

Global semiconductor supply chain management has played a critical role to improve if not maintain our service and value in this uncertain era. Contracts between suppliers and businesses constitute the very foundation of the global supply chain. Supply chain contracts are regularly being updated, owing to the volatile environment. It is crucial for supply chain professionals to be able to retrieve the right information quickly and accurately from the lengthy clauses in the contract. Hence, we present the application of pre-trained model (PTM), CUAD-RoBERTa with few-shot learning PERFECT framework to extract the salient portions of a supply chain contract, enable supply chain professionals to retrieve information and generate deep insights with high efficiency. The decent results open the possibility of future applications in streamlining contracts and other documents crucial to business operations.