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AWS Consumer Goods global

Nestlé

To accelerate time to market for IoT innovation across its global businesses, Nestlé needed a unified and secure solution framework that would liberate teams to focus on the customer experience.

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Today, over 2.8 million devices in 97 countries are connected through the IoT Platform, which has ingested 2.1 billion data points in that time.

Reported impact

Business outcome

“We have absolute peace of mind with our systems on AWS.” Due to the sheer scale and complexity of a global enterprise like Nestlé, consistency has been key to the success of IoT initiatives.

  • Customer Experience
  • Scalability
  • Speed to Market

Solution

Consumer packaged goods (CPG) giant Nestlé wanted to accelerate the development of Internet of Things (IoT) solutions across its global business units, including coffee brand Nespresso and pet care brand Nestlé Purina Petcare (Purina). Nestlé chose to build the IoT Platform on Amazon Web Services (AWS) to unlock scale and take advantage of serverless architecture. Nestlé Scales to Millions of Connected Devices with AWS IoT Nestlé used AWS IoT Core , a service that offers cloud connectivity for billions of IoT devices across the globe without managing infrastructure, to build its central offering. At Purina, for example, teams used the IoT Platform to bring essential and often complex IoT functionalities—such as device-to-cloud connectivity, data ingestion, security certificate management, and software update management—to its newly developed Smart Litterbox offering, which uses artificial intelligence (AI) to alert people when their cats may need to see the veterinarian.

Data flow

Today, over 2.8 million devices in 97 countries are connected through the IoT Platform, which has ingested 2.1 billion data points in that time.

Solution architecture

3 components · 2 layers
  1. Ingest
    • AWS IoT Core Connects IoT devices securely to cloud ingestion and device-management services.
  2. Compute
    • AWS Lambda Runs event-driven application logic without provisioning servers.
    • Amazon SageMaker Supports training, fine-tuning, and managed inference for machine learning workloads.

Architecture clues

  • After its success with its first proof of concept, which was for a Nescafé product, the corporation has incrementally expanded its IoT operations throughout its global business units.
  • From the moment the IoT Platform initiative started in 2016, Nestlé IT leaders were set on using serverless architecture.
  • “Just as we wanted to take common components out of our IT solutions so teams could focus on business value, we wanted to use AWS to reduce the load of managing infrastructure.” Nestlé uses AWS Lambda , a serverless, event-driven compute service, so its teams can focus on the consumer experience.
  • “The single most important differentiator for AWS was its serverless computing service,” says García.

Evidence from the source

As one of the largest CPG corporations in the world, Nestlé is home to many household names.
Nestlé used AWS IoT Core , a service that offers cloud connectivity for billions of IoT devices across the globe without managing infrastructure, to build its central offering.
To accelerate time to market for IoT innovation across its global businesses, Nestlé needed a unified and secure solution framework that would liberate teams to focus on the customer experience.
With the IoT Platform available, Nestlé business units have been freed to innovate and focus their resources on building differentiated products.
“Some of our brands wouldn’t have been able to afford or develop IoT solutions in house if we didn’t have a common solution ready for them to use,” says Matellanes.
Transparency Evidence & methodology 81/100 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 value81/100
  • 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 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
    5 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • 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. AWS

    Nestlé customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/nestle-aws-iot-case-study/
    Source type
    Vendor-published customer story
    Published
    Nov 6, 2023
    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

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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