DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports Events Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
  1. DZone
  2. Data Engineering
  3. Big Data
  4. HelloFresh Optimizes Fresh Meal Delivery Experience Worldwide

HelloFresh Optimizes Fresh Meal Delivery Experience Worldwide

Leverages weekly subscriber touches, manages supply chains and demand, and optimizes customer experience plus business operations.

Tom Smith user avatar by
Tom Smith
CORE ·
Oct. 21, 16 · News
Like (4)
Save
Tweet
Share
3.73K Views

Join the DZone community and get the full member experience.

Join For Free

MapR Technologies, Inc., provider of the industry’s only Converged Data Platform, today announced that HelloFresh, a global subscription-based fresh meal delivery business, is using MapR to carry out deeper data analysis with greater scale and flexibility. The MapR Converged Data Platform enables HelloFresh to leverage weekly subscriber touch points, consistently manage supply chains and demand, and optimize customer experience as well as business operations.

“Since we first built our home-brewed BI system in 2011, HelloFresh has expanded into seven additional countries on three continents,” said Nuno Simaria, Chief Technology Officer at HelloFresh. “What we had just wasn’t scalable, especially as our needs became more demanding. With the MapR Platform, we can process tens of millions of rows of data in a few minutes. We get results quickly, gain more valuable business insights and can act on them swiftly.”

HelloFresh selected a data platform based on Hadoop and other big data technologies after realizing its “home-brewed” business intelligence solution lacked scalability. Its previous underlying data platform would quickly hit a limit as HelloFresh’s data analysis needs became more demanding. Deploying the MapR Platform was a clear choice after recommendations by other companies and based on the strength of the technology. Key MapR capabilities for HelloFresh include MapR NFS, disaster recovery features including Snapshots, and access to the responsive MapR support and professional services teams.  Other technologies used in the HelloFresh solution include Tableau, Apache Impala and a number of third-party services hosted on Amazon Web Services.

Berlin-based HelloFresh serves over 7.5 million meals per month to more than 800,000 subscribers in the UK, Germany, Switzerland, Netherlands, United States, Canada Austria, Belgium and Australia. Working closely with MapR, HelloFresh achieved the following benefits:

  • Rapid Development: HelloFresh built and migrated data to its MapR Platform in record time – less than two months – in contrast to the six months it took to build a home-brewed platform.
  • Faster Performance Enables Business Agility: Where it used to take nine hours to process two weeks of data, it now takes 20 minutes. This faster performance makes HelloFresh more agile, giving them more rapid access to business insights and the ability to innovate, try new things, and adjust as needed.
  • Scalable, Richer, and More Flexible Data Analysis: HelloFresh gathers data from a wide range of feedback points and analysis of this was previously done manually – an incredibly cumbersome exercise. Now the company has automated the process with the MapR Platform, enabling data analysis across multiple data sources including its corporate database, website, distribution centers, customer care tickets and application usage. Management teams also have the capacity to explore the data themselves in a platform geared towards self-service.

“We are pleased that MapR is helping HelloFresh transform its operations and deliver real business benefits that optimize resources,” said Patrik Svanström, vice president, EMEA, MapR Technologies.

Big data Delivery (commerce) Fresh (IDE)

Opinions expressed by DZone contributors are their own.

Popular on DZone

  • A Brief Overview of the Spring Cloud Framework
  • Understanding gRPC Concepts, Use Cases, and Best Practices
  • How to Check Docker Images for Vulnerabilities
  • Top 5 Node.js REST API Frameworks

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 600 Park Offices Drive
  • Suite 300
  • Durham, NC 27709
  • support@dzone.com
  • +1 (919) 678-0300

Let's be friends: