Overview
Hands-on IBM watsonx Assistant project focused on natural language understanding for e-commerce customer interactions.
I designed conversational paths that handle real user intents instead of demo-only scripts.
Problem
E-commerce support scales poorly with purely human agents; NLU must route intents accurately without frustrating customers.
Approach
- →Defined intents and entities aligned with typical shopper questions.
- →Built multi-turn dialogs with fallbacks and escalation paths.
- →Integrated assistant logic with practical business scenarios on IBM Cloud.
- →Tested utterance variations to improve recognition quality.
Stack
- IBM watsonx Assistant
- IBM Cloud
- Dialog design
- NLU
Outcomes
- Working chatbot flows suitable for pilot deployment
- Certificate-aligned mastery of watsonx tooling (87%+ on IBM track)
- Reusable pattern for intent-first conversational design