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Microsoft Healthcare Netherlands

Albert Heijn

Marketing Personalization

"Whether you're trying to make sense of the ingredients in your fridge or need to plan a meal from scratch, everyone goes through this at some point in their day." It's a challenge that Albert Heijn - the largest supermarket chain in the Netherlands - has found several ways to address through technology.

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"To do that, we carry out daily predictions for more than 15 million store-item combinations and how much of them we are going to sell.
"We do this more than 5 weeks in advance, so we make almost 1 billion predictions per day.
Every day, nearly 17 million people who live in the Netherlands reach a point in their day where they ask themselves a mighty age-old question: what's for dinner tonight?

Reported impact

Business outcome

With support from Microsoft, it has embarked on a series of initiatives aimed at leveraging AI - and Generative AI in particular - to do everything from customer personalization to demand forecast and food waste projects.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth
  • Scalability

Solution

Albert Heijn built its Microsoft solution to improve customer-personalization workflows. "Whether you're trying to make sense of the ingredients in your fridge or need to plan a meal from scratch, everyone goes through this at some point in their day." It's a challenge that Albert Heijn - the largest supermarket chain in the Netherlands - has found several ways to address through technology. Key components included Azure OpenAI Service ran model inference or heavy processing, and Azure Kubernetes Service coordinated workflows, prompts, or deployment. Requests and business records enter Dynamics 365, where Azure OpenAI Service assists routing, summaries, or responses before the updated information is surfaced back to employees and customers through the Microsoft application layer. The stack stayed governed and extensible on Microsoft.

Data flow

Requests and business records enter Dynamics 365, where Azure OpenAI Service assists routing, summaries, or responses before the updated information is surfaced back to employees and customers through the Microsoft application layer.

Solution architecture

3 components · 3 layers
  1. Compute
    • Azure OpenAI Service Runs large language models that generate grounded responses, summaries, and copilots.
  2. Serving
    • Dynamics 365 Provides the cloud business-application foundation that unifies service and operational workflows.
  3. Orchestration
    • Azure Kubernetes Service Operates containerized application and AI workloads in a managed Kubernetes environment.

Architecture clues

  • For this reason, the two have now partnered up on Albert Heijn's Gen AI Labs, a start-up dedicated to exploring and experimenting with the use of Generative AI at a rapid pace.
  • Using Microsoft Azure OpenAI, AI Vision and Azure Kubernetes Services, the company has been driving transformation at scale across various parts of its business - with particularly striking work in sustainability matters such as food waste.

Evidence from the source

"To do that, we carry out daily predictions for more than 15 million store-item combinations and how much of them we are going to sell.
"We do this more than 5 weeks in advance, so we make almost 1 billion predictions per day.
"Whether you're trying to make sense of the ingredients in your fridge or need to plan a meal from scratch, everyone goes through this at some point in their day." It's a challenge that Albert Heijn - the largest supermarket chain in the Netherlands - has found several ways to address through technology.
Every day, nearly 17 million people who live in the Netherlands reach a point in their day where they ask themselves a mighty age-old question: what's for dinner tonight?
Using Microsoft Azure OpenAI, AI Vision and Azure Kubernetes Services, the company has been driving transformation at scale across various parts of its business - with particularly striking work in sustainability matters such as food waste.
With support from Microsoft, it has embarked on a series of initiatives aimed at leveraging AI - and Generative AI in particular - to do everything from customer personalization to demand forecast and food waste projects.
Transparency Evidence & methodology 91/100 reference value · 89% 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 value91/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    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 impact25/25
    2 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • 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 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 specificity10/10
    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

    Albert Heijn customer story

    First-party
    https://www.microsoft.com/en/customers/story/1739352737304784739-albertheijn-azure-open-ai-service-retailers-en-netherlands
    Source type
    Vendor-published customer story
    Published
    Feb 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 Feb 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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