Small Business
$30,000 – $90,000
Single predictive model POC
Scope brief
Overview
Use this RFQ when you need providers to quote for Machine Learning — with clear scope, deliverables, timeline, and evaluation criteria.
When To Use This RFQ
Objectives
- Build predictive and classification models
- Use historical data for forecasting
- Deploy models to production
- Monitor model drift and accuracy
Typical Projects
- Demand forecasting
- Churn prediction
- Fraud detection
- Recommendation engines
Ideal Buyer
Data science sponsors and analytics leaders.
Common Deliverables
- Data assessment
- Model training
- Validation report
- Deployment pipeline
- Monitoring
Ready-to-Copy Scope of Work
Project: Machine Learning
Category: AI Services
Scope of Work:
1. Define project objectives, target audience, markets (EG/KSA/UAE), and success metrics for Machine Learning.
2. Confirm deliverables, formats, languages (Arabic/English), and approval workflow.
3. Agree timeline, milestones, revision rounds, and stakeholder sign-off points.
4. Specify reporting, handover files, and post-delivery support expectations.
5. Include assumptions, exclusions, and change-request process in the quotation.
Quotation must include: fee, deliverables, timeline, team structure, assumptions and exclusions.
Deliverables Checklist
- Project plan and timeline
- Scope confirmation document
- Deliverable assets per agreed formats
- Revision and approval log
- Final handover package
- Performance or completion report
Timeline Template
Week 1
Kickoff and requirements
Scope sign-off
Week 2–3
Production / execution
Draft approval
Week 4
Delivery and handover
Final acceptance
Budget Guidance (USD)
Mid Market
$90,000 – $250,000
Production ML pipeline
Enterprise
$250,000 – $750,000+
Enterprise ML platform
Indicative USD ranges for Egypt, KSA, and UAE (2025–2026 market research). Egypt is often 40–70% lower than Dubai/Riyadh upper tiers. Ad spend, MOQ, licensing, and VAT usually excluded.
Vendor Evaluation Matrix
| Criteria | Weight | Score | Notes |
|---|---|---|---|
| Technical Capability | 25% | Rate 1–5 | |
| Industry Experience | 20% | Rate 1–5 | |
| Price | 20% | Rate 1–5 | |
| References | 15% | Rate 1–5 | |
| Response Time | 10% | Rate 1–5 | |
| Support | 10% | Rate 1–5 |
Common Mistakes
Vague scope +
List exact deliverables, quantities, and formats in the RFQ.
No approval SLAs +
Set review turnaround times to protect the timeline.
Markets not specified +
State countries, cities, and language requirements upfront.
Success metrics missing +
Define KPIs or acceptance criteria before quoting.
Related Verified Providers
V
M
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Related Projects
Explore verified case studies on Entasher for similar RFQ workflows.
View Case StudiesFAQ
What is a Machine Learning RFQ template? +
A Machine Learning RFQ template is a ready-to-use procurement document with scope, deliverables, timeline, and evaluation criteria — so you can collect comparable quotations from verified service providers.
How do I use this Machine Learning RFQ template on Entasher? +
Click "Use This Template Online" to open the Entasher RFQ form with scope, deliverables, timeline, and evaluation criteria pre-filled. Submit one brief and receive competitive quotations across Egypt, KSA, and UAE.
What is the difference between an RFQ template and an RFP template? +
An RFQ focuses on pricing for clearly defined scope. An RFP evaluates approach and capability. This Machine Learning template supports both with the included vendor evaluation matrix.
Can I download this template as DOCX or PDF? +
Yes. Download DOCX or PDF with scope, deliverables, timeline, and evaluation matrix — ready to send to agencies. Or use "Use This Template Online" to submit faster and receive quotations from verified providers.
What budget should I set for Machine Learning? +
Budget guidance on this page is in USD and reflects typical ranges across Egypt, KSA, and UAE. Use the Small Business, Mid Market, and Enterprise tiers as starting points — Egypt is often lower; Dubai and Riyadh sit at the upper end for comparable scope.
How many providers will respond to my RFQ on Entasher? +
Most clients receive multiple quotations within 24–48 hours from verified providers matched to service category and country.
What should I include in the scope of work section? +
Include objectives, deliverables, markets (EG/KSA/UAE), languages, timeline, approval process, and reporting requirements.
How do I evaluate Machine Learning proposals fairly? +
Use the vendor evaluation matrix. Score each provider on technical capability, industry experience, price, references, response time, and support.