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Title
Ahold Delhaize trains ML models for personalization and inventory forecasting across brands
…e data team at Etos — one of many companies under the Ahold Delhaize umbrella — uses the platform for machine learning and model training for personalization and inventory forecasting, as well as analytics to analyze store performance and promos. “We give the dat…
Description
Ahold Delhaize, one of the world's largest food retail groups (7,452+ stores across multiple countries), built a self-service data platform on Databricks Lakeflow Jobs and Auto Loader that lets data engineers across its brands build pipelines for AI/ML needs. Etos uses the platform for machine learning and model training for personalization and inventory forecasting; Albert Heijn's ML engineering team uses Lakeflow Jobs to orchestrate feature engineering and continuous ML model training/retraining pipelines. The platform runs about 1,165 data ingestion jobs daily, cut deployment time 4.5x (1.5 hours to 20 minutes), and reduced costs by 50% through cluster reuse.
…data science, analytics and AI/ML tasks. This has led to improved productivity. The company’s data team now runs approximately 1,165 ingestion jobs daily. When including jobs run in the consumer team’s workspaces, that number is rough…
…s new platform, an entirely new deployment takes about 20 minutes. In addition, cluster reuse has resulted in cost savings of more than 50%. This is on top of the significant savings they’ve already achieved using job cl…
Company
Ahold Delhaize
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Ahold Delhaize CUSTOMER STORY Lakeflow Jobs helps data teams scale and reduce costs 50% Cost r…
Industry
Retail
…0% cost reduction across its data ingestion operations. Share this post Details Industry : Retail and Consumer Goods Use Case : Data Engineering Cloud : Azure Product : Lakeflow Connect , Lakeflow…
Deployment model
Cloud
…s post Details Industry : Retail and Consumer Goods Use Case : Data Engineering Cloud : Azure Product : Lakeflow Connect , Lakeflow Jobs , Spark Declarative Pipelines Ready…
Problem
Ahold Delhaize needed to modernize a complex legacy architecture with multiple triggers, external orchestrators like Azure Data Factory, and dependent pipelines across its global brands, which made building and deploying data pipelines a laborious, unmanaged process.
…abricks What challenge was Ahold Delhaize solving with the Databricks Platform? Ahold Delhaize needed to modernize a complex legacy architecture with multiple triggers, external orchestrators and dependent pipelines across its global brands to build a scalable, self-service data platform. How does Ahold Delhaize use Databricks Lakeflow Jobs and Auto Loader for data i…
Solution
Ahold Delhaize built a self-service data platform using Databricks Lakeflow Jobs and Auto Loader, streaming raw store, online and merchandising data from Kafka into a Delta Lake medallion (Bronze/Silver) architecture; brand teams like Etos use it for machine learning and model training for personalization and inventory forecasting, while Albert Heijn's ML engineering team uses Lakeflow Jobs to orchestrate feature engineering and continuous model retraining pipelines.
…Ahold Delhaize use Databricks Lakeflow Jobs and Auto Loader for data ingestion? Ahold Delhaize uses Auto Loader to stream raw store, online and merchandising data from Kafka into a Delta Lake medallion architecture, while Lakeflow Jobs replaces external tools like Azure Data Factory to orchest…
Technology
Lakeflow Connect, Lakeflow Jobs, Spark Declarative Pipelines, Auto Loader, Delta Lake, Kafka
…Industry : Retail and Consumer Goods Use Case : Data Engineering Cloud : Azure Product : Lakeflow Connect , Lakeflow Jobs , Spark Declarative Pipelines Ready to get started? Try Databricks for free Learn more about our product Talk…
Use case type
Personalisation
…e data team at Etos — one of many companies under the Ahold Delhaize umbrella — uses the platform for machine learning and model training for personalization and inventory forecasting, as well as analytics to analyze store performance and promos. “We give the dat…
Headline outcome
…tion jobs. How did cluster reuse on Databricks impact costs for Ahold Delhaize? By adopting job clusters, multitask workflows and cluster reuse on the Databricks Platform, Ahold Delhaize achieved a 50% cost reduction across its data ingestion operations. Share this post Details Industry : Retail and Consumer Goods Use Case : Data En…
Business value
The company now runs about 1,165 data ingestion jobs daily, cut full deployment time 4.5x from 1.5 hours to about 20 minutes, and achieved cost savings of more than 50% through cluster reuse.
…data science, analytics and AI/ML tasks. This has led to improved productivity. The company’s data team now runs approximately 1,165 ingestion jobs daily. When including jobs run in the consumer team’s workspaces, that number is rough…
…t deployment speed and operational monitoring gains did Ahold Delhaize achieve? Ahold Delhaize reduced full deployment times by 4.5x—from 1.5 hours down to 20 minutes—using GitHub Actions and Terraform CI/CD automation, while Lakeflow Jobs stream…
AI capabilities
Recommendation & Personalization, Predictive Analytics
…e data team at Etos — one of many companies under the Ahold Delhaize umbrella — uses the platform for machine learning and model training for personalization and inventory forecasting, as well as analytics to analyze store performance and promos. “We give the dat…
Deployment options
cloud
…s post Details Industry : Retail and Consumer Goods Use Case : Data Engineering Cloud : Azure Product : Lakeflow Connect , Lakeflow Jobs , Spark Declarative Pipelines Ready…
