How Pyramyd Qualifies and Scores Vendors

Overview:
One of Pyramyd’s core innovations is its Vendor Matrix, where our AI‑powered engine automatically qualifies and scores software vendors based on your requirements. This article explains how the system works, what the scores mean, and how you can override them to improve accuracy.

What Is the Vendor Matrix?

• Definition: The Vendor Matrix is a visual display (found under the “Discover” tab) that lists the top 10 vendors that best match your critical requirements.

• How It Works:

  1. Our AI engine reviews your prioritized requirements and maps them to key business capabilities.

  2. It searches through hundreds of thousands of vendors, narrowing the list down to those that best meet your criteria.

  3. Each vendor is given a score from 0 to 10, representing how well they fulfill each requirement.

  4. A “confidence ring” is displayed next to each score. The ring’s color (typically green for high confidence, with black indicating a manual override) shows how reliable the AI’s evaluation is based on the quality of the underlying data.

Definition: The Vendor Matrix is a visual display (found under the “Discover” tab) that lists the top 10 vendors that best match your critical requirements.

How It Works:

1. Our AI engine reviews your prioritized requirements and maps them to key business capabilities.

Our AI engine reviews your prioritized requirements and maps them to key business capabilities.

• It searches through hundreds of thousands of vendors, narrowing the list down to those that best meet your criteria.

It searches through hundreds of thousands of vendors, narrowing the list down to those that best meet your criteria.

• Each vendor is given a score from 0 to 10, representing how well they fulfill each requirement.

Each vendor is given a score from 0 to 10, representing how well they fulfill each requirement.

• A “confidence ring” is displayed next to each score. The ring’s color (typically green for high confidence, with black indicating a manual override) shows how reliable the AI’s evaluation is based on the quality of the underlying data.

A “confidence ring” is displayed next to each score. The ring’s color (typically green for high confidence, with black indicating a manual override) shows how reliable the AI’s evaluation is based on the quality of the underlying data.

Viewing and Interpreting the Scorecards

• Score Breakdown: Click on any vendor’s score bubble to open a detailed scorecard.

• Details Provided:

  • Requirement: The specific requirement (e.g., “Integration with ADP” or “Financial Reporting Capabilities”).

  • Vendor Score: A numerical score (0–10) representing the vendor’s performance for that requirement.

  • Confidence Ring: A visual cue indicating the quality of data used to generate the score. A green ring means high confidence; if you override the score, the ring turns black.

  • Rationale: Our system provides a brief explanation of why a vendor received a given score, listing the data sources (public reviews, press releases, product documentation) that influenced the result.

• Override Function:

  • If you have firsthand experience that suggests a vendor’s score should be different, you can manually adjust the score.

  • When you override a score, you must select a reason (e.g., “Better integration observed in my trial,” “Pricing is higher than expected”).

  • Your override changes the vendor’s score in the matrix, and the confidence ring turns black to indicate that the AI’s original score was superseded by your input.

  • This feedback is stored (anonymized) and helps improve our AI model for future evaluations.

Score Breakdown: Click on any vendor’s score bubble to open a detailed scorecard.

Details Provided:

• Requirement: The specific requirement (e.g., “Integration with ADP” or “Financial Reporting Capabilities”).

Requirement: The specific requirement (e.g., “Integration with ADP” or “Financial Reporting Capabilities”).

• Vendor Score: A numerical score (0–10) representing the vendor’s performance for that requirement.

Vendor Score: A numerical score (0–10) representing the vendor’s performance for that requirement.

• Confidence Ring: A visual cue indicating the quality of data used to generate the score. A green ring means high confidence; if you override the score, the ring turns black.

Confidence Ring: A visual cue indicating the quality of data used to generate the score. A green ring means high confidence; if you override the score, the ring turns black.

• Rationale: Our system provides a brief explanation of why a vendor received a given score, listing the data sources (public reviews, press releases, product documentation) that influenced the result.

Rationale: Our system provides a brief explanation of why a vendor received a given score, listing the data sources (public reviews, press releases, product documentation) that influenced the result.

Override Function:

• If you have firsthand experience that suggests a vendor’s score should be different, you can manually adjust the score.

If you have firsthand experience that suggests a vendor’s score should be different, you can manually adjust the score.

• When you override a score, you must select a reason (e.g., “Better integration observed in my trial,” “Pricing is higher than expected”).

When you override a score, you must select a reason (e.g., “Better integration observed in my trial,” “Pricing is higher than expected”).

• Your override changes the vendor’s score in the matrix, and the confidence ring turns black to indicate that the AI’s original score was superseded by your input.

Your override changes the vendor’s score in the matrix, and the confidence ring turns black to indicate that the AI’s original score was superseded by your input.

• This feedback is stored (anonymized) and helps improve our AI model for future evaluations.

This feedback is stored (anonymized) and helps improve our AI model for future evaluations.

Why Vendor Scoring Matters

• Objectivity: The system is designed to reduce bias. Vendors cannot pay to boost their ranking; your requirements drive the selection.

• Transparency: Every score comes with an explanation, so you know exactly why a vendor is ranked a certain way.

• Continuous Improvement: The override and feedback features mean that as more users interact with Pyramyd, our model learns and improves, providing better recommendations over time.

• Data-Driven Decision Making: With detailed scorecards and the ability to generate reports (exportable as PDF for sharing with stakeholders), you can make informed decisions without the subjectivity of traditional review sites.

Objectivity: The system is designed to reduce bias. Vendors cannot pay to boost their ranking; your requirements drive the selection.

Transparency: Every score comes with an explanation, so you know exactly why a vendor is ranked a certain way.

Continuous Improvement: The override and feedback features mean that as more users interact with Pyramyd, our model learns and improves, providing better recommendations over time.

Data-Driven Decision Making: With detailed scorecards and the ability to generate reports (exportable as PDF for sharing with stakeholders), you can make informed decisions without the subjectivity of traditional review sites.

Roadmap Notice:
Some additional features—such as more granular weighting of different requirement domains, advanced analytics for vendor comparison, and integration with expense management systems—are on our roadmap and will be implemented in future updates.

Conclusion:
Pyramyd’s Vendor Matrix and scorecards give you a powerful, data‑driven way to evaluate software vendors. By understanding these tools, you can confidently choose the vendor that best fits your needs and even provide valuable feedback to help us refine the system further.