Tapestry Transforms Enterprise Knowledge Management Using Generative AI on AWS

Tapestry, a global luxury fashion retailer behind brands like Coach and Kate Spade, faced challenges with siloed organizational knowledge making it difficult for employees to access critical information. The company built an enterprise-wide generative AI-powered knowledge management chatbot on AWS using Amazon Bedrock and Amazon Titan foundation models (Claude 3 Haiku LLM) to allow employees to query company data through a single interface. The chatbot reduces search times, lowers the workload on subject matter experts, and is currently used by multiple teams with plans to enhance voice interaction capabilities.

Organization
Tapestry
Industry
Retail
Published
April 2026

Reported outcomes

Strategic outcomes

New product / capabilityBuilt generative AI knowledge chatbotEmployee experienceEnabled self-service knowledge accessSpeed & agilityReduced time to find answersInnovation & cultureAdvanced ongoing AI enhancements

Primary read

Use case focus

Showing 2 of 2

  • 1Knowledge Management
  • 2Enterprise Collaboration
Siloed organizational knowledge across multiple continents hindered quick access to company information and standard operating procedures by employees.
  • Built a generative AI chatbot using Amazon Bedrock foundation models, including Claude 3 Haiku, to enable natural language queries and provide precise, contextual responses from the company knowledge base.
  • Implemented single sign-on authentication to secure data access and automatically update the knowledge base as new information was added.
  • Reduced time employees spend searching for answers and decreased reliance on subject matter experts for repetitive queries.
  • Enabled self-service knowledge access for approximately 300 employees across six teams, with expanding adoption across the organization.
  • Accelerated enterprise-wide innovation with ongoing enhancements including voice interaction features.
Sources & evidence1
Groundedness: 5/5

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