Build a Supplier Onboarding Document Quality and Expiry Risk Packager
Extract, validate, and audit supplier onboarding compliance documents using Frictionless Data framework specifications. Track nearing expiration deadlines for anti-bribery declarations and ISO certifications to maintain enterprise onboarding readiness.
What you are building
The core problem, expected build, and operating context for this challenge.
Extract, validate, and audit supplier onboarding compliance documents using Frictionless Data framework specifications. Track nearing expiration deadlines for anti-bribery declarations and ISO certifications to maintain enterprise onboarding readiness.
Corporate Procurement Onboarding Specialist
Extract tabular onboarding documentation metadata submitted by prospective enterprise suppliers.
Run automated Frictionless Data validation checks against strict pre-defined schema constraints and field types.
Calculate risk scores based on missing mandatory certifications and documents expiring within 60 days.
Compile a comprehensive supplier onboarding qualification report specifying missing items and required re-submissions.
An onboarding status grid showing certificate validation status, days to expiry, and required corrective uploads.
Fictional supplier compliance metadata CSV files tested against Frictionless Data Table Schemas in a sandbox. Starter examples below are synthetic. They are not downloaded records.
Frictionless data validation Implements Frictionless Data validation functions, error codes like blank-header and missing-cell, and data packages.
semantic-kernel, frictionless, pandas. Semantic Kernel orchestrates data validation skills with enterprise notification plugins for clean pipeline modularity. OpenAI or Azure OpenAI endpoint accessed via Semantic Kernel connectors for generating remediation guidance.
Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.
Catches Frictionless validation errors including missing mandatory headers and malformed date strings.
Flags vendors with certifications expiring within 60 days of the reference evaluation date.
Emits a structured JSON qualification summary detailing specific document failure codes.
```json [ { "input": { "supplier_name": "Nordic Fabrication AB", "records": [ { "cert_name": "ANTI_BRIBERY_POLICY", "issue_date": "2023-01-01", "expiry_date": "2024-03-15" }, { "cert_name": "CYBER_SECURITY_AUDIT", "issue_date": "2023-06-01", "expiry_date": "2025-06-01" } ], "current_date": "2024-02-01" }, "expected_output": { "supplier_name": "Nordic Fabrication AB", "onboarding_status": "CONDITIONAL_APPROVAL", "expiring_certs": [ "ANTI_BRIBERY_POLICY" ], "days_until_next_expiry": 43, "resubmission_required": true } }, { "input": { "supplier_name": "Faulty Data Ltd", "records": [ { "cert_name": "", "issue_date": "invalid-date", "expiry_date": "none" } ], "current_date": "2024-02-01" }, "expected_output": { "supplier_name": "Faulty Data Ltd", "onboarding_status": "REJECTED_SCHEMA_INVALID", "expiring_certs": [], "days_until_next_expiry": null, "resubmission_required": true } } ] ```
Maintains a read-only compliance intake workflow without automated blacklisting or commercial contract execution. Use mock external writes. Require human review before any real deployment.
Participation guide
Maintains a read-only compliance intake workflow without automated blacklisting or commercial contract execution. Use mock external writes and human review.
How work is evaluated
Catches Frictionless validation errors including missing mandatory headers and malformed date strings. Flags vendors with certifications expiring within 60 days of the reference evaluation date. Emits a structured JSON qualification summary detailing specific document failure codes.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Extract tabular onboarding documentation metadata submitted by prospective enterprise suppliers. Run automated Frictionless Data validation checks against strict pre-defined schema constraints and field types. Calculate risk scores based on missing mandatory certifications and documents expiring within 60 days. Compile a comprehensive supplier onboarding qualification report specifying missing items and required re-submissions.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Catches Frictionless validation errors including missing mandatory headers and malformed date strings. Flags vendors with certifications expiring within 60 days of the reference evaluation date. Emits a structured JSON qualification summary detailing specific document failure codes.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
An onboarding status grid showing certificate validation status, days to expiry, and required corrective uploads.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Maintains a read-only compliance intake workflow without automated blacklisting or commercial contract execution.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Extract tabular onboarding documentation metadata submitted by prospective enterprise suppliers.
Run automated Frictionless Data validation checks against strict pre-defined schema constraints and field types.
Calculate risk scores based on missing mandatory certifications and documents expiring within 60 days.
Compile a comprehensive supplier onboarding qualification report specifying missing items and required re-submissions.
Reference links and supporting material
Fictional supplier compliance metadata CSV files tested against Frictionless Data Table Schemas in a sandbox. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Semantic Kernel
Agent Systems · Agent Frameworks
Evaluated output
No output checks are configured.
- Extract tabular onboarding documentation metadata submitted by prospective enterprise suppliers. Run automa...
- Catches Frictionless validation errors including missing mandatory headers and malformed date strings. Flag...
- An onboarding status grid showing certificate validation status, days to expiry, and required corrective up...
- 2 public reference cases
- 1 configured tool
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- Semantic Kernel · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
No recipe freeze time is recorded.