How Tapestry Transformed Enterprise Knowledge Management Using Generative AI on AWS

By: GoBeyond Team
July 27, 2025
3 min read
Tapestry AI chatbot interface showing centralized knowledge access and natural language query results

Quick Overview

Tapestry, a global luxury retail company behind brands like Coach and Kate Spade, used generative AI on AWS to centralize access to company knowledge. The AI-powered chatbot enables employees to quickly access SOPs, policies, and institutional knowledge from a single interface, breaking down silos across IT, HR, legal, and other teams. The system reduces time spent searching for answers, decreases burden on subject matter experts, and improves onboarding and decision-making.

Tapestry
Tapestry
Company Size
18,000 employees
Revenue Range
$6B+ annual revenue
Primary Challenge
Overcoming siloed, fragmented knowledge across global business units to improve information access and operational efficiency
Key Metrics

- Reduced time employees spend searching for answers
- 300+ employees actively using the solution
- 4 months to build, test, and deploy
- Decreased SME burden
- Improved onboarding speed and quality

The Problem

Knowledge was scattered across multiple systems and formats, causing delays and inefficiencies

The Solution

Generative AI solution built on AWS using Amazon Bedrock foundation models (Claude 3 Haiku, Amazon Titan), Aurora PostgreSQL vector database, and a secure chatbot interface with single sign-on authentication

Results

- Faster, more accurate information access
- Streamlined operations and collaboration
- Reduced dependency on SMEs
- Accelerated onboarding and decision-making
- Scalable and continuously updated knowledge base

“Using generative AI on AWS, we are capturing the DNA of our company.”“The solution is going to get people the information that they want much quicker.”

Aravind Narasimhan, Vice President, Application TechnologiesKarthigeyan Ramakrishnan, Director of Applications

Details

Industry
Retail & E-commerce
Departments
Operations & Workflow Automation
Use Cases
Knowledge Base Management
Tags
GenAI
NLP
Scalability
AI Tools Used
Claude
Sources
https://aws.amazon.com/fr/solutions/case-studies/tapestry-enterprise-knowledge-management-case-study/https://aws.amazon.com/blogs/industries/tapestry-makes-enterprise-knowledge-more-accessible-using-generative-ai-on-aws/https://genaigazette.com/tapestry-genai-knowledge/https://www.linkedin.com/posts/rjivraj_tapestry-makes-enterprise-knowledge-more-activity-7305721684701978624-X45u

More Case Studies

See All
How International Rescue Committee Implements AI Chatbot to Streamline Refugee Claim Processing
Nonprofit & NGO
How Olay (P&G) Doubled Conversion Rates and Increased Average Cart Size by 40% with AI-Powered Skin Advisor
Retail & E-commerce
How Document360 Uses AI to Create Dynamic, Searchable, Multi-Lingual Knowledge Bases that Reduce Support Tickets
Technology & SaaS
How CodiumAI Uses AI to Optimize and Refactor Legacy Codebases
Technology & SaaS
How Scotiabank Leverages Google Cloud AI to Deliver Predictive Banking and Award-Winning Chatbot Experiences
Finance & Banking
How Six Flags Enhanced Guest Experience and Operations with Google Cloud Vertex AI-Powered Digital Concierge
Hospitality & Tourism

🤖 Chat with AI

Type...