Extraction of PR Fields from Contract
The PR/PO Co-pilot leverages advanced extraction models to automatically capture essential fields like vendor details, line items, payment terms, and delivery dates from contracts.
Key Features
Multi-model field extraction
Integrates vision-language models for structured data with LLMs and layout models to accurately extract information from complex formats like tables.
Pre-training on millions of documents
Trained on a vast, annotated dataset to ensure reliable performance across various contract types and industries.
Field-specific model optimization
Utilizes specialized models for different data types (e.g., numerical fields, line items) to enhance extraction accuracy for each category.
Chain-of-thought reasoning
Applies contextual logic to maintain consistent interpretation and relationships between related fields within the contract.
Line-item parsing with spatial intelligence
Uses advanced table-parsing and positional analysis to accurately capture multi-line purchase order details.
Intelligent line-item validation
Ensures precise calculations by verifying relationships between quantity, unit price, extended amounts, and other key fields, maintaining compliance with contractual terms.
80%
PO creation & dispatch time
Converts approved PR into PO automatically based on the company's templates. It can send POs automatically to vendors based on configurations.
5min
PR creation time
Co-pilot auto-fills most of the complex forms in ERPs and procurement systems by reducing the effort to 5 minutes
Auditability
Human Errors
Approvals
PO Closing & Other KPIs
VALUE PROPOSITION
Why Hyperbots Procurement
Co-Pilot?
Hyperbots PR/PO Co-pilot automates purchase requisition and order processes, including PR creation, approval workflows, and PO dispatch, ensuring efficiency, compliance, and seamless integration with ERP systems.
Before and After Hyperbots PR/PO Co-Pilot
FAQs: Extraction of PR Fields from Contract
What fields does the PR/PO Co-Pilot extract from contracts or SOWs?
The PR/PO Co-Pilot extracts essential fields such as vendor information, line item details, payment terms, delivery dates, contract terms, and scope of work from contracts and Statements of Work (SOWs). This ensures all critical procurement data is accurately captured.
What time savings does the PR/PO Co-Pilot achieve by extracting these fields?
By automating the extraction of key fields, the Co-Pilot significantly reduces manual data entry time, typically saving up to 80% of the time spent on processing purchase requisitions and orders. This allows procurement teams to focus on more strategic tasks.
What technology does the PR/PO Co-Pilot use to extract these fields?
The Co-Pilot utilizes advanced extraction technologies, including vision-language models, large language models (LLMs), and layout understanding algorithms. These state-of-the-art models enable accurate extraction from diverse document formats, such as structured forms, free-form text, and complex table layouts.
Does the PR/PO Co-Pilot also perform validation?
Yes, the Co-Pilot not only extracts data but also validates the extracted fields against predefined rules and existing records. It ensures data accuracy by cross-referencing vendor details, verifying line items, and confirming payment terms, thereby minimizing errors and maintaining compliance.
Does the PR/PO Co-Pilot highlight where human input is necessary based on confidence?
Absolutely. The Co-Pilot assigns confidence scores to each extracted field and flags any low-confidence entries for human review. This ensures that critical decisions involve human oversight when the system's certainty is insufficient, maintaining high data integrity.
Does the PR/PO Co-Pilot perform inference-time learning?
Yes, the Co-Pilot incorporates inference-time learning, allowing it to adapt and improve its extraction and validation processes based on real-time feedback and new data. This continuous learning capability enhances accuracy and performance over time, ensuring the system remains up-to-date with evolving procurement needs.
Why Hyperbots Agentic AI Platform?
Finance specific
Hyperbots Agentic AI platform specializes exclusively in finance and accounting intelligence, leveraging millions of data points from invoices, statements, contracts, and other financial documents. No other platform has such large pretrained models on F&A data.
Best-in-class accuracy
Hyperbots achieves 99.8% accuracy in converting unstructured data to structured fields through a multimodal MOE model integrating LLMs, VLMs, and layout models. With contextual validation and augmentations, the platform ensures 100% accuracy for deployed agents.
Synthesis of unstructured and strutured finance data
Hyperbots agents emulate finance professionals to autonomously perform F&A tasks by reading and writing data like COA, expenses, and vendor masters from core accounting systems and integrating it with unstructured data from financial documents such as invoices, POs, and contracts.
Pre-trained agents with state of the art models
Hyperbots' Agentic platform, pre-trained on millions of financial documents like invoices, bills, statements, and contracts, ensures seamless integration, high accuracy, and adaptability to any accounting content, form, layout, or size from day one.
Company specific inference time learning
Hyperbots' Agentic platform employs state-of-the-art Auto ML pipelines with techniques like reinforcement learning to enable inference-time learning for tasks such as GL recommendation and cash outflow forecasting, ensuring continuous improvement and adaptability.
Ready to take the next steps?
Book a demo with one of our Financial Technology Consultants to get started!