Christoph Fassbach, Daniel Rohr

Empowering Retail Through Applied Machine Learning

They call it 'building a plane while flying it.' See how ALDI SOUTH launched a new ML-powered supply chain in only nine months.

Empowering Retail Through Applied Machine Learning
#1about 1 minute

Understanding ALDI SOUTH's global retail operations

An overview of ALDI SOUTH's business, including its presence in 11 countries, 6,900 stores, and significant growth in the US market.

#2about 3 minutes

Building a data-driven culture with ALDI Data & Analytics

ALDI is investing heavily in its data and analytics unit (IDA) to leverage vast amounts of store data and create business value.

#3about 4 minutes

Core components and satellite architecture of the data lake

The cloud data lake is built on a simplified set of components like Spark and blob storage, using a satellite concept to isolate team resources and prevent the "noisy neighbor" problem.

#4about 3 minutes

Implementing a medallion architecture and data exchange patterns

Data is processed through bronze, silver, and gold layers to ensure quality and add business context, with a core system managing data exchange between satellites.

#5about 4 minutes

Understanding the business lifecycle of ALDI's special buys

The end-to-end process for "special buys" involves a year-long cycle of forecasting, ordering, allocating to regions and stores, and managing markdowns.

#6about 4 minutes

Applying the satellite architecture to the special buys use case

A dedicated data satellite prepares shared sales data, which is then consumed by separate use case satellites for ordering, allocation, and markdown models.

#7about 1 minute

Overview of the data and machine learning tech stack

The technical stack includes an orchestrator, GitLab for CI/CD, PySpark for distributed data processing, and MLflow for experiment tracking and model serving.

#8about 2 minutes

Fostering an agile culture and hiring data talent

ALDI is rapidly expanding its data teams, hiring for roles like data engineers and scientists within an agile environment to quickly deliver and roll out new solutions.

Related jobs
Jobs that call for the skills explored in this talk.

Featured Partners

Related Videos

Data Science in Retail58:21

Data Science in Retail

Julian Joseph

Beyond the Hype: Real-World AI Strategies Panel24:07

Beyond the Hype: Real-World AI Strategies Panel

Mike Butcher, Jürgen Müller, Katrin Lehmann, Tobias Regenfuss

AI beyond the code: Master your organisational AI implementation.30:49

AI beyond the code: Master your organisational AI implementation.

Marin Niehues

Industrializing your Data Science capabilities43:47

Industrializing your Data Science capabilities

Dubravko Dolic & Hüdaverdi Cakir

Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization45:58

Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization

Andreas Christian

DevOps for Machine Learning44:40

DevOps for Machine Learning

Hauke Brammer

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)27:23

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

Dora Petrella

Challenges for omnichannel applications at ALDI: Data distribution and offline capabilities30:48

Challenges for omnichannel applications at ALDI: Data distribution and offline capabilities

Enrico La Torre & Renato Dompieri Beltrão

From learning to earning

Jobs that call for the skills explored in this talk.