ProcureScore

Data & AI Usage Disclosure

Last updated: January 5, 2026

Table of Contents
  • 1. Purpose of This Disclosure
  • 2. How ProcureScore Uses Data
  • 3. Algorithmic Scoring
  • 4. Use of Artificial Intelligence
  • 5. No Training on Customer Confidential Data
  • 6. Data Ownership and Control
  • 7. Human Oversight
  • 8. Third-Party AI Services
  • 9. Enterprise Controls
  • 10. Updates to This Disclosure

This Data & AI Usage Disclosure explains how **Company Name** (“Company”, “we”, “us”, “our”) uses data, analytics, and artificial intelligence technologies within the ProcureScore platform (“Platform”).

1. Purpose of This Disclosure

ProcureScore is designed to improve procurement decision-making through structured evaluation, vendor scoring, and analytics. This document clarifies how data is processed and whether artificial intelligence systems are used.

2. How ProcureScore Uses Data
  • To calculate vendor performance scores.
  • To enable procurement comparisons and evaluations.
  • To display vendor profiles and submitted information.
  • To generate platform analytics and aggregated insights.
  • To improve platform reliability, usability, and security.
3. Algorithmic Scoring

Vendor scores are generated using structured evaluation criteria, weighted inputs, and rule-based logic.

Scores may incorporate:

  • Vendor-submitted data
  • User-generated reviews
  • Procurement evaluation inputs
  • Defined scoring methodologies developed by the Company

Scores are informational and do not replace independent due diligence.

4. Use of Artificial Intelligence

ProcureScore may use automated systems or machine learning techniques to improve data structuring, scoring consistency, categorization, and analytical insights.

AI systems are used to assist evaluation workflows and are not autonomous decision-makers.

5. No Training on Customer Confidential Data

We do not use enterprise confidential procurement documents, internal evaluation notes, or non-public customer data to train public artificial intelligence models.

Customer-specific data is processed only for providing the Platform’s services.

6. Data Ownership and Control
  • Users retain ownership of content they submit.
  • The Company owns the scoring framework, methodologies, algorithms, and derived score outputs.
  • The Company may use aggregated and anonymized analytics to improve the Platform.
7. Human Oversight

Procurement decisions remain the responsibility of users. The Platform provides decision-support tools, not automated procurement execution.

8. Third-Party AI Services

If third-party AI or analytics providers are used in the future, such providers will process data subject to contractual safeguards and applicable data protection laws.

9. Enterprise Controls

Enterprise customers may request information regarding data processing practices and may exercise contractual rights concerning data deletion or restriction as permitted under applicable agreements.

10. Updates to This Disclosure

We may update this Disclosure as the Platform evolves. Continued use of ProcureScore constitutes acceptance of any updates.

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