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Microsoft Public Sector Germany

Nagel-Group

Data Lake / Data Warehouse Modernization · Enterprise Knowledge Search · IT Operations Automation

The challenge: Overabundance of information makes it harder to find salient details Logistics is in the middle of a major transformation: many processes integral to supply chains that were once purely manual are now becoming increasingly automated.

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It helps us increase transparency and standardization because it means we can offer our customers consistent conditions across all locations.
This saves time, creates efficiency and transparency, and leads to higher-quality answers overall.
“The response the users receive also includes all sources and references for the original text passages.
“Through the introduction of Copilot for Microsoft 365 as part of an early adopter program, we will achieve further efficiency gains, set new trends, and drive the digital transformation of logistics forward.

Reported impact

Business outcome

“Through the introduction of Copilot for Microsoft 365 as part of an early adopter program, we will achieve further efficiency gains, set new trends, and drive the digital transformation of logistics forward.

  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

For an international company, seamless operations hinge on ensuring that the entire workforce can quickly access the internal store of information and know-how. The challenge: Overabundance of information makes it harder to find salient details Logistics is in the middle of a major transformation: many processes integral to supply chains that were once purely manual are now becoming increasingly automated. “That paved the way for all further AI use cases and our NagelGPT solution based on Azure OpenAI Service . The solution: NagelGPT based on Azure OpenAI Service always provides the right answers Nagel-Group started by working with its partner P3 to prioritize those use cases that offered employees the most added value. “Through the introduction of Copilot for Microsoft 365 as part of an early adopter program, we will achieve further efficiency gains, set new trends, and drive the digital transformation of logistics forward.

Solution architecture

8 components · 3 layers
  1. Compute
    • Azure OpenAI Service Runs the generative AI experience that answers questions, summarizes content, or drafts outputs for users.
    • Microsoft Copilot for Microsoft 365 Provides the generative AI assistant inside Microsoft 365 workflows for employees.
    • Azure Provides the secure, scalable cloud foundation for the solution.
  2. Serving
    • Azure AI Search Indexes enterprise content and retrieves relevant passages to ground search and assistant responses.
    • Microsoft Teams Serves as the collaboration and frontline communications surface for the solution.
  3. Orchestration
    • Microsoft Copilot Studio Builds enterprise copilots and orchestrates conversational workflows.
    • Power Automate Automates cross-system workflow steps and repetitive tasks.
    • Azure AI Studio Provides the managed environment for building, testing, and deploying the AI assistant or agent solution.

Architecture clues

  • Behind the scenes, Microsoft Copilot Studio forwards the question to the central application via Power Automate Azure OpenAI Service helps give each inquiry its own content “fingerprint” and interprets references to filter parameters.
  • Employees can pose their questions—currently on the topics of works agreements and sales—at any time and receive an automated response that includes the appropriate reference documents.
  • Now, when employees want to find out what the current rules are governing mobile working or giving Christmas presents to business partners, they just open NagelGPT in Microsoft Teams and enter their question.
  • That means we can always respond quickly to inquiries from the different departments and ensure that the data corpus is kept up-to-date,” Kreciszewski says.
  • The challenge: Overabundance of information makes it harder to find salient details Logistics is in the middle of a major transformation: many processes integral to supply chains that were once purely manual are now becoming increasingly automated.
  • The solution: NagelGPT based on Azure OpenAI Service always provides the right answers Nagel-Group started by working with its partner P3 to prioritize those use cases that offered employees the most added value.
  • “That paved the way for all further AI use cases and our NagelGPT solution based on Azure OpenAI Service .

Evidence from the source

The challenge: Overabundance of information makes it harder to find salient details Logistics is in the middle of a major transformation: many processes integral to supply chains that were once purely manual are now becoming increasingly automated.
The solution: NagelGPT based on Azure OpenAI Service always provides the right answers Nagel-Group started by working with its partner P3 to prioritize those use cases that offered employees the most added value.
“That paved the way for all further AI use cases and our NagelGPT solution based on Azure OpenAI Service .
“Through the introduction of Copilot for Microsoft 365 as part of an early adopter program, we will achieve further efficiency gains, set new trends, and drive the digital transformation of logistics forward.
Transparency Evidence & methodology 76/100 reference value · 87% 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 value76/100
  • 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 specificity16/20
    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 confidence87%
  • 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
    4 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 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. Microsoft

    Nagel-Group customer story

    First-party
    https://www.microsoft.com/en/customers/story/1792966154673709027-nagel-group-azure-openai-service-travel-and-transportation-en-germany
    Source type
    Vendor-published customer story
    Published
    Jul 29, 2024
    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 Jul 29, 2024 · 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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