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Tiffany & Co.

Experiencing the extraordinary

Delivering product discovery experiences befitting a luxury icon

Industry

  • Retail

Offering

  • Commerce Acceleration
  • Experience Elevation
  • Data & AI Revolution

Technology

  • Akeneo
  • Algolia
7

Successful new market launches within one year 

50%

Reduction in time-to-market for new products 

20%

Increase in productivity via data governance and process review 

3,000

Data errors resolved

Get to know Tiffany & Co.

Tiffany & Co.

Tiffany & Co. is one of the world’s most prestigious luxury jewelry and specialty design houses.

Founded in 1837 by Charles Lewis Tiffany and headquartered on Fifth Avenue in Manhattan, Tiffany & Co. has become synonymous with timeless elegance, exceptional craftsmanship and innovative jewelry design. In 2021, Tiffany became a subsidiary of LVMH, further solidifying their status within the global luxury sector.

Today, the iconic brand has a truly global presence with more than 300 stores spanning the U.S., Europe, Latin America and Asia-Pacific, operating in a dozen languages and boasting a 390,000-item product catalog.

Delivering extraordinary shopping experiences on a global scale

Tiffany & Co.

Tiffany & Co. offers a shopping experience like no other. There's no question too small or request too big for Tiffany’s advisors. 

But as the brand moved into new markets across Asia, North America and Europe, problems started to occur.

Each market has specific needs, regulatory requirements, and language preferences, creating complexity in managing consistent and accurate product data. 

The absence of a unified data governance framework, inefficient search systems and complicated internal workflows — particularly between a proprietary PLM system and the ecommerce platform — made matters worse and seriously undermined online shopping journeys.

Issues included: 

  • Over 58,000 missing products and inaccurate product listings 
  • More than 5,000 data errors visible on their live websites 
  • Slow search speeds and inaccurate results 
  • Errors when purchasing certain products 

Realizing they risked falling short of their exceptionally high standards, Tiffany & Co. asked Valtech to transform the product experience, integrate new tools where appropriate and solve data governance issues.

Helping customers experience the extraordinary

Tiffany & Co.

Together, Tiffany & Co. and Valtech embarked on a digital transformation journey to improve internal processes and give shoppers the kind of white-glove experience they’d receive in-store.

Here’s a snapshot of what we delivered over a multi-year engagement: 

  • A cohesive product experience strategy and data governance frameworks that align Tiffany & Co.’s brand vision with their business needs and IT capabilities.
  • Implementation of Akeneo as a product experience management (PXM) platform and Algolia as an AI-powered search engine. 
  • Platform demos to accelerate onboarding and establish best practices. 
  • Smarter internal workflows, plus seamless integration between new and existing ecommerce systems. 

A better way to manage product data with Akeneo

Tiffany & Co

Valtech implemented Akeneo’s PXM platform to centralize and enrich product information and help Tiffany’s team manage it efficiently across multiple markets. 

As a Diamond Partner, we worked closely with Akeneo to: 

  • Refine Tiffany & Co.’s product data model structure so that it aligns with both product data and ecommerce experience. 
  • Optimize Akeneo’s rule engine to eliminate errors and duplications.
  • Implement a comprehensive data cleansing process to organize and structure thousands of incomplete product records. 
  • Integrate Akeneo into Tiffany & Co.’s complex ecosystem, which included its proprietary PLM, Algolia, Salesforce Commerce Cloud, Lengow and Adobe DAM. 

 

A faster, personalized and more intuitive search experience with Algolia

Tiffany & Co.

With Algolia’s AI-powered enterprise search solution, we gave customers everywhere a seamless product discovery experience, whatever their language, currency or regional preferences.

Our work included:

  • Implementing AI re-ranking of products based on data to surface the most relevant results. 
  • Tailoring search logic for luxury product attributes (e.g., gemstone types, metal finishes and collection-specific searches). 
  • Leveraging real-time customer behavior to provide market-based product recommendations. 
  • Deploying search configurations to optimize experiences across multiple languages and regions. 
  • Centralizing product metadata across PIM, PLM and ecommerce platforms to ensure accurate, up-to-date search results. 

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