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Predictive Routing

A Service Cloud feature powered by Einstein AI that uses machine learning to route cases and other work items to the agent who is most likely to resolve them successfully, based on historical resolution patterns.

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Definition

A Service Cloud feature powered by Einstein AI that uses machine learning to route cases and other work items to the agent who is most likely to resolve them successfully, based on historical resolution patterns.

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In plain English

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Predictive Routing is a Service Cloud feature powered by Einstein AI that uses machine learning to route cases and other work items to the agent most likely to resolve them. It learns from historical resolution patterns to make smarter routing decisions than rule-based approaches alone.

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Worked example

scenario · real-world use

Tradewind Software's contact center enables Predictive Routing, an Einstein-powered upgrade to Omni-Channel. Instead of routing solely on agent skills and capacity, Einstein analyzes historical case-resolution data and learns: agent Maria resolves billing disputes 40% faster than the team average; agent David has the highest CSAT for technical questions on the API. New incoming Cases get routed to the agent most likely to resolve them quickly and well, based on the case content and agent histories. Average handle time drops 15%; the routing decisions improve continuously as the model learns from new resolutions.

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Why Predictive Routing matters

Predictive Routing is a Service Cloud feature powered by Einstein AI that uses machine learning to route cases and other work items to the agent who is most likely to resolve them successfully, based on historical resolution patterns. Unlike standard rule-based routing (which uses fixed criteria like skills and capacity), predictive routing analyzes outcomes from past cases to learn which agents handle which case types best, then routes new cases accordingly.

Predictive routing is part of Salesforce's broader push to bring AI into operational decisions. The benefit is potentially better outcomes than rule-based routing because the model learns from real success patterns rather than relying on assumptions about which agents are good at what. Mature contact centers evaluate predictive routing carefully, measuring whether it actually improves resolution outcomes over their existing rule-based approach. Combined with Omni-Channel Routing and skills-based assignment, predictive routing is one option in a larger routing toolkit.

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How organizations use Predictive Routing

Larchpath Software

Tested predictive routing against rule-based routing, finding modest improvements in first-contact resolution.

Crowbridge AI

Uses predictive routing for case types where success patterns are complex enough that rule-based routing can't capture them.

Foxstone Apps

Combines predictive routing with skills-based routing, letting AI optimize within skill-matched agent pools.

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Trust & references

Official documentation

Straight from the source - Salesforce's reference material on Predictive Routing.

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About the Author

Dipojjal Chakrabarti is a B2C Solution Architect with 29 Salesforce certifications and over 13 years in the Salesforce ecosystem. He runs salesforcedictionary.com to help admins, developers, architects, and cert/interview candidates sharpen their fundamentals. More about Dipojjal.

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Test your knowledge

Q1. What is Predictive Routing?

Q2. How does it differ from rule-based routing?

Q3. How should you evaluate it?

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