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Opportunity Examples

Why This Exists

This document provides practical examples of Opportunity Domain behavior.

Owner

The owner is the Chief Product Officer and Enterprise Architect.

Business Value

Examples show how tender discovery, matching, qualification, recommendations, deadlines, and watchlists work without crossing into proposal writing.

Example 1: Public Cleaning Tender

A public cleaning tender is discovered from a government source.

Opportunity behavior:

  • Captures source and tender reference.
  • Indexes service category, region, briefing, deadline, and requirements.
  • Matches against Organization cleaning services and region.
  • Reads Compliance readiness for tax and B-BBEE context.
  • Produces qualification and bid/no-bid recommendation.

Example 2: Construction Tender With Mandatory Briefing

A construction tender includes a mandatory briefing session and CIDB requirement.

Opportunity behavior:

  • Tracks briefing session and deadline.
  • Captures CIDB requirement as tender requirement.
  • Requests Compliance readiness reference.
  • Assesses risk if briefing attendance is required.
  • Produces recommendation state.

Example 3: Private IT Services Opportunity

A private buyer publishes an IT services opportunity.

Opportunity behavior:

  • Stores tender as private tender.
  • Indexes services, requirements, buyer, deadline, and documents.
  • Matches against Organization IT services and products.
  • Uses Intelligence analysis for fit and win probability estimate.

Example 4: Watchlist Match

A customer creates a watchlist for facilities tenders in Gauteng.

Opportunity behavior:

  • Stores watchlist criteria.
  • Matches new tenders against criteria.
  • Emits watchlist alert when a tender matches.
  • Allows customer to save the tender.

Example 5: No-Bid Recommendation

An opportunity appears relevant but has short deadline, missing compliance evidence, and low fit.

Opportunity behavior:

  • Captures deadline risk.
  • References Compliance readiness.
  • Uses Intelligence analysis.
  • Stores no-bid recommendation with rationale and win probability estimate.