DoorDash
Discover 2 AI Use Cases & Implementations from DoorDash
Hyperscaler mix
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Evidence persistence
1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.
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Technology snapshot
What DoorDash uses across visible cases
Capability flags and technologies mentioned in the indexed use cases on this page.
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All Use Cases (2)
DoorDash Builds Generative AI Contact Center Solution Using Amazon Bedrock and Amazon Connect Customer
DoorDash, a local commerce platform, wanted to enhance self-service support for Dashers, Consumers, and Merchants by reducing live agent interactions and improving contact center user experience.Collaborating with AWS Generative AI Innovation Center, DoorDash built a voice-operated generative AI self-service contact center solution using Amazon Bedrock foundation models (Anthropic Claude) and Amazon Connect Customer, implementing retrieval-augmented generation from public help center data for accurate response.The AI-powered contact center handles hundreds of thousands of calls daily, reducing agent transfers by 49%, improving first contact resolution by 12%, and cutting development time by 50%.The solution operates with response latency of 2.5 seconds or less, is fully rolled out to all Dashers, and achieves $3M annual operational cost savings with plans for expansion.
DoorDash built low-latency voice self-service generative AI agents for Dashers using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Bases
DoorDash built a low-latency voice self-service experience for Dashers using Amazon Connect, Amazon Lex, Amazon Bedrock, and Amazon Bedrock Knowledge Bases.The solution was developed with AWS Generative AI Innovation Center to reduce live-agent burden while maintaining issue-resolution quality.