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Google Cloud Retail UK The Estée Lauder Companies Inc. (ELC) is one of the world's leading manufacturers, marketers, and sellers of quality skin care, makeup, fragrance, and hair care products, and is a steward of luxury and prestige brands globally. The company's products are sold in approximately 150 countries and territories under brand names, including Estée Lauder, Aramis, Clinique, Lab Series, Origins, M·A·C, La Mer, Bobbi Brown Cosmetics, Aveda, Jo Malone London, and more. United States

Estée Lauder

Marketing Personalization

The major challenge in digital commerce really comes down to subjectivity, the unique individual needs that our customers have for expressing their personal beauty.

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The Estée Lauder Companies Inc. (ELC) is one of the world's leading manufacturers, marketers, and sellers of quality skin care, makeup, fragrance, and hair care products, and is a steward of luxury and prestige brands globally. The…
has been creating a palette of exquisitely simple, elegant scents and curating a world where every sense is indulged since 1994. Acquired by prestige beauty leader The Estée Lauder Companies Inc. in 1999, today the brand is internationally…

Reported impact

Business outcome

Maps natural language to deep scent expertise for bespoke fragrance recommendations

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth
  • Risk Reduction

Solution

The major challenge in digital commerce really comes down to subjectivity, the unique individual needs that our customers have for expressing their personal beauty. Using Google's Gemini models and Gemini platform, The Estée Lauder Companies and Jo Malone London created the Jo Malone London AI Scent Advisor—a new AI-powered experience that provides expert, personalized guidance online to help customers discover their… The core of the system is an interactive AI agent that uses Gemini's reasoning and multimodal capabilities to evoke necessary points of inquiry by asking about a customer's memories, sensory experiences, and the identity they want to express through scent.… Key components include Gemini platform coordinates multi-agent workflows, tool calling, and governed automation across the application; Cloud Run runs serverless or virtualized application services with elastic scale for production AI workloads; Pub/Sub moves high-volume events and API traffic between services so.

Solution architecture

7 components · 5 layers
  1. Ingest
    • Pub/Sub Moves high-volume events and API traffic between services so the workflow stays decoupled and resilient.
  2. Compute
    • Cloud Run Runs serverless or virtualized application services with elastic scale for production AI workloads.
    • Gemini models Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
  3. Storage
    • Firestore Stores transactional state and application data for the operational workflow at low latency.
    • BigQuery Stores and queries the analytics and AI-ready datasets that power the workload.
  4. Orchestration
    • Gemini platform Coordinates multi-agent workflows, tool calling, and governed automation across the application.
  5. Governance
    • Model Armor Adds governance, security, and control to the production AI and data environment.

Architecture clues

  • Jo Malone London , the iconic British fragrance and lifestyle brand The Estée Lauder Companies, understands these stakes more keenly than most. Shopping for fragrance online is notoriously difficult, and without the…
  • Maps natural language to deep scent expertise for bespoke fragrance recommendations
  • Now, the fragrance powerhouse is tackling its latest milestone: Digitally recreating its signature in-store consultation experience.
  • The Estée Lauder Companies and Jo Malone London help customers discover their perfect fragrance online with Google Cloud's AI.
  • To bridge this gap, Jo Malone London has focused on creating trustworthy, reliable, and realistic online discovery experiences. This digital innovation journey has included initiatives like a scent layering tool and a…

Evidence from the source

From the start, The Estée Lauder Companies' AI team collaborated closely with brand experts and stylists to define its olfactive taxonomy, encompassing all the notes, subnotes, and scent families of its distinctive…
Google Cloud forms the backbone of the AI Scent Advisor: Cloud Run services and worker pools, along with Pub/Sub, enable continuous data processing at scale. Firestore and BigQuery serve as a powerful operational and…
Jo Malone London's scent stylists are experts at helping customers to find a fragrance that perfectly suits their personality, mood, or the season. In store, they employ a "Tell, Explain, Describe" (TED) framework,…
The Estée Lauder Companies and Jo Malone London help customers discover their perfect fragrance online with Google Cloud's AI.
The core of the system is an interactive AI agent that uses Gemini's reasoning and multimodal capabilities to evoke necessary points of inquiry by asking about a customer's memories, sensory experiences, and the…
Using Google's Gemini models and Gemini platform, The Estée Lauder Companies and Jo Malone London created the Jo Malone London AI Scent Advisor—a new AI-powered experience that provides expert, personalized guidance…
Transparency Evidence & methodology 72/100 reference value · 77% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value72/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity12/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence77%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Google Cloud

    Estée Lauder customer story

    First-party
    https://cloud.google.com/customers/elc
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived May 23, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Oct 8, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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