Lead routing looks simple from outside: send a lead to a customer. In practice, it is a constraint and optimization problem.
Possible routing factors
- Location match
- Practice area match
- Customer schedule and pause settings
- Remaining order balance
- Priority
- Lead quality score
- Fairness across customers
This becomes a useful bridge between classical optimization, AI scoring models, and later quantum-inspired algorithms.