Supplier Scoring Model
Create a structured framework to evaluate and compare AI vendors objectively
A robust supplier scoring model is essential for making objective, defensible procurement decisions when selecting AI technologies. Kowalah helps you create a customized scoring framework that aligns with your organization’s specific requirements while ensuring a transparent evaluation process.
Why You Need a Supplier Scoring Model
Evaluating AI vendors presents unique challenges:
- Complex technical capabilities that can be difficult to compare
- Rapidly evolving features across competing platforms
- Varying pricing structures that make direct comparisons challenging
- Different implementation approaches with distinct timelines and resource needs
- Diverse stakeholder priorities that must be balanced
A well-designed scoring model helps you:
- Ensure consistent evaluation across all vendors
- Create a defensible decision process that can withstand scrutiny
- Reduce bias by establishing clear criteria before vendor demos
- Balance competing priorities across different stakeholders
- Document your reasoning for future reference and knowledge transfer
What’s Included in the Template
Kowalah guides you through creating a comprehensive scoring model with these components:
1. Evaluation Approach
Define how vendors will be assessed—whether through objective blind scoring with weighted criteria or subjective group feedback and consensus building.
2. Evaluation Categories
The template helps you identify and prioritize relevant categories for your specific AI procurement, such as:
- Technical capabilities
- Integration requirements
- Data handling and privacy
- Cost structure
- Implementation support
- Ongoing maintenance
- Vendor stability and roadmap
3. Weighting System
Assign appropriate weights to different criteria based on your organization’s priorities. For example:
- Technical fit: 40%
- Pricing: 30%
- Implementation timeline: 20%
- Support & maintenance: 10%
4. Scoring Methodology
Define a clear rating scale (e.g., 1-5 or qualitative labels) and how scores will be collected, aggregated, and normalized.
5. Evaluator Instructions
Provide guidance to ensure all evaluators understand how to apply the scoring criteria consistently.
6. Visual Reporting
Generate visual summaries that make it easy to compare vendors at a glance and communicate results to stakeholders.
Example: Scoring Major AI Models
Here’s a simplified example of how you might use the scoring model to evaluate major AI platforms:
Evaluation Criteria (Weight) | ChatGPT (GPT-4) | Claude 3 Opus | Gemini 1.5 Pro |
---|---|---|---|
Technical Capabilities (40%) | 4.5/5 Strong reasoning and code generation | 4.7/5 Superior contextual understanding | 4.3/5 Excellent multimodal capabilities |
Enterprise Integration (20%) | 4.2/5 Mature API but limited tools | 3.8/5 Strong API but fewer integrations | 4.0/5 Good Google Workspace integration |
Data Privacy & Security (15%) | 3.8/5 Enterprise tier available | 4.5/5 Industry-leading privacy controls | 3.9/5 Strong but evolving enterprise options |
Cost Structure (15%) | 3.5/5 Higher token costs | 4.0/5 Competitive pricing | 4.2/5 Most economical for high volume |
Support & Documentation (10%) | 4.3/5 Extensive community resources | 4.0/5 Strong documentation, smaller community | 3.8/5 Good but still developing resources |
Weighted Total | 4.14/5 | 4.25/5 | 4.09/5 |
In this example, while all three platforms score well, Claude 3 Opus receives the highest overall score due to its strengths in technical capabilities and data privacy, despite slightly lower scores in enterprise integration.
Best Practices for Scoring AI Vendors
When implementing your supplier scoring model:
- Involve diverse stakeholders to capture different perspectives
- Customize criteria for AI-specific concerns like data governance, explainability, and model drift
- Test with actual vendor information to validate your scoring methodology
- Document score justifications with specific examples and observations
- Balance quantitative scores with qualitative insights for a complete evaluation
- Re-evaluate weights if initial results don’t align with stakeholder intuition
How to Use This Template
To create your own supplier scoring model:
- Navigate to your Kowalah project dashboard
- Select “Supplier Selection” from the buying stages
- Choose “Help me develop a supplier scoring model”
- Follow the guided conversation to customize your model
- Share the completed model with your buying team for alignment
- Apply the model during vendor evaluations
- Generate a final scoring report to support your decision
This structured approach helps ensure that your AI vendor selection process is methodical, comprehensive, and defensible.
Next Steps
To use this template in Kowalah:
- Navigate to the “Supplier Selection” stage
- Select “Help me develop a supplier scoring model”
- Answer the guided questions about your specific evaluation criteria
- Customize the generated model to fit your organization’s priorities
- Share with your buying team to ensure alignment before vendor evaluations
Related Templates
Vendor Meeting Template
Ready to meet with potential vendors? Use our Vendor Meeting template to plan your agenda and questions.
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