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Microsoft Retail Global

Levi Strauss & Co.

Enterprise Knowledge Search · IT Operations Automation

As Levi Strauss & Co. scales its direct-to-consumer business, employees navigated fragmented systems and complex workflows, making it difficult to access insights and operate at the speed modern retail demands.

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Reported impact

Business outcome

By orchestrating purpose-built agents through a unified Super Agent, Levi Strauss & Co. reduced complexity, accelerated decision-making, and enabled real-time access to insights across the business.

  • Customer Experience
  • Scalability
  • Speed to Market

Solution

Levi Strauss & Co. used Microsoft Foundry and GitHub Copilot to build purpose-driven agents plus a unified Super Agent that simplifies how employees work across its direct-to-consumer business. The retailer wanted to remove friction created by fragmented systems and multi-step workflows that slowed access to information and decision-making. Microsoft Foundry became the orchestration layer for agents that connect data sources and workflows, while GitHub Copilot supported development work and Microsoft Teams provided a familiar collaboration surface. The result is an AI-enabled workplace model that gives employees faster access to insights and helps the company operate at the pace required by modern retail.

Solution architecture

3 components · 2 layers
  1. Serving
    • Microsoft Teams Acts as the collaboration surface for prompts, meetings, and shared knowledge.
    • GitHub Copilot Assists developers with code generation and implementation tasks.
  2. Orchestration
    • Microsoft Foundry Coordinates the agents and shared tooling behind the unified super-agent experience.

Architecture clues

  • Microsoft Foundry acts as the orchestration layer while Teams provides the collaboration surface.
  • Purpose-driven agents are unified through a Super Agent that connects data sources and workflows.
  • The design targets fragmented systems and multi-step workflows across a global direct-to-consumer operation.

Evidence from the source

As Levi Strauss & Co. scales its direct-to-consumer business, employees navigated fragmented systems and complex workflows, making it difficult to access insights and operate at the speed modern retail demands.
By orchestrating agents through a unified Super Agent experience, Levi Strauss & Co. reduces complexity, accelerates decision-making, and enables real-time access to insights across the business.
Levi Strauss & Co. uses Microsoft Foundry and GitHub Copilot to build purpose-driven agents and a unified Super Agent that orchestrates workflows, connects data, and simplifies how work gets done.
Transparency Evidence & methodology 65/100 reference value · 80% 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 value65/100
  • 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 specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence80%
  • 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 evidence15/20
    3 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity6/10
    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. Microsoft

    Levi Strauss & Co. customer story

    First-party
    https://www.microsoft.com/en/customers/story/26647-levi-strauss-and-co-microsoft-foundry
    Source type
    Vendor-published customer story
    Published
    Jun 4, 2026
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Jun 4, 2026 · Microsoft · First-party
    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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