Modernize your call center with intelligent search using Amazon Kendra
summary
Magellan Rx consolidates documents from 13 repositories and connects Amazon Kendra to Amazon Lex, Transcribe and Comprehend to deliver real time, context aware search for agents. A proof of concept goes live in under 6 hours and a full production rollout completes in about 4 weeks. The system returns client specific articles, uses connectors and CloudFormation (initially scripted with boto3), and trims average call time by 9–15 seconds, saving thousands of hours yearly.
AI-written summary · about
chapters (9)
- 0:00Introduction and challenges
- 2:25Amazon Kendra overview
- 5:02Self-service use case
- 9:21Agent assist use case
- 11:00Magellan RX success story
- 15:23Implementing the solution
- 19:42Architecture and challenges
- 24:35Results and impact
- 29:14Conclusion and next steps
related talks
32mIncrease productivity and satisfaction with an intelligent contact center
28mGive users relevant answers quickly with intelligent search
30mFind Accurate Information Faster with Intelligent Search
31mSeamless Customer Service with Amazon Connect & Alexa
26mEmpower your business use cases
46mReimagining clinical engagement using Amazon Connect
29mSolve common business problems with AI and ML
21mAn Introduction to Data Driven Customer Engagement
