Reported impact
Business outcome
DoorDash reported increase in testing capacity 50x, response latency with Anthropic's Claude 3 Haiku, and 2.5 seconds or less, improving generative AI contact center self-service with measurable gains in productivity improvement, customer experience, speed to market, and scalability.
- Customer Experience
- Productivity Improvement
- Scalability
- Speed to Market
Solution
DoorDash uses Amazon Connect Customer, Amazon Lex, Amazon Bedrock, and Anthropic's Claude 3 Haiku in Amazon Bedrock to support generative AI contact center self-service. DoorDash needed to handle hundreds of thousands of support calls with faster, lower-latency self-service for Dashers while keeping answers grounded, safe, and accurate. In practice, the implementation runs transformation or AI logic on Amazon Bedrock, and delivers outputs through Amazon Connect Customer. Tickets, conversation history, knowledge articles, and operational context are consolidated into a governed cloud data layer; Amazon Bedrock applies analytics or model logic; results are surfaced through Amazon Connect Customer. The case study reports increase in testing capacity 50x, response latency with Anthropic's Claude 3 Haiku, and 2.5 seconds or less, showing measurable improvement after the rollout.
Data flow
Tickets, conversation history, knowledge articles, and operational context are consolidated into a governed cloud data layer; Amazon Bedrock applies analytics or model logic; results are surfaced through Amazon Connect Customer.