TMT

Accelerated RFP verification process and reduced manual verification costs with 80% accuracy for a top IT service provider

Key Challenges
A top IT service provider’s General Service Administration (GSA) Requests for Proposals (RFP) verification process was manual and time-consuming. The client wanted to improve the efficiency and quality of the verification process, while ensuring an acceptable level of accuracy in the RFP verification.
Our Products in Action
ElectrifAi developed a five-step process for end-to-end AI/ML and NLP-based RFP verification, which included OCR to transform PDF to Docx, SmartParser for text segmentation by sections, Section Filtering for filtering high-level sections, Fuzzy Matching to match sections to the list of clauses/synonyms using fuzzy matching algorithms, and Doc-level accuracy to generate doc-level reports using NLP.
Business Impact
80%
accuracy rate achieved that will continuously improve with more client contracts processed
Efficient and accurate RFP verification with minimal oversight errors
Insightful reporting that boosts decision-making capabilities
80%
accuracy rate achieved that will continuously improve with more client contracts processed
Efficient and accurate RFP verification with minimal oversight errors
Insightful reporting that boosts decision-making capabilities