Combating Combinatorial Complexity of Case Routing

Are your engineering and support teams stuck building unmaintainable trees of exceptions? Traditional case routing relies on deterministic logic—static "if/then" rules that completely fail at the combinatorial complexity of enterprise scale.

In this episode, we dive deep into the architecture of SupportLogic’s Intelligent Case Assignment (ICA) to understand how it shifts routing from a rigid classification task to a continuous, multi-dimensional optimization problem. We unpack the technical mechanics behind ICA's five-pillar ML scoring engine, which evaluates time overlap, agent bandwidth, customer history, and skills simultaneously in real-time.

Listen in for a technical breakdown of how ICA replaces simple boolean skill flags with LLM-driven logical inference and TFIDF weighting, preventing high-volume cases from unfairly dominating an agent's skill signal. We also explore the system's strict architectural separation between "soft" ML recommendations and "hard" availability limits—such as CRM omnichannel presence, assignment hours, and active backlog caps.

If you want to understand the mathematical models and queue architecture required to route global enterprise cases seamlessly without writing another static rule, this technical deep-dive is for you