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Title

Ushering in a new era of personalized retail shopping

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…Demo Login Contact Us Try Databricks Customer Stories / Emart24 CUSTOMER STORY Ushering in a new era of personalized retail shopping 96% Reduction in time to insights, from 27 hours to 1 hour 93% Lower operationa…

Description

Emart24, a Korean convenience store chain with over 6,500 stores, migrated to the Databricks Data + AI Platform to process transaction data from more than 6 billion transactions and 80,000 products, cutting analysis time from 27 hours to 1 hour (96% reduction) and lowering compute costs by 93%. The new platform underpins AI-powered product recommendation services, a cashierless smart store system, and demand forecasting for logistics centers.

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…/ Emart24 CUSTOMER STORY Ushering in a new era of personalized retail shopping 96% Reduction in time to insights, from 27 hours to 1 hour 93% Lower operational costs As the retail industry evolves, there is a discerni…
…ized retail shopping 96% Reduction in time to insights, from 27 hours to 1 hour 93% Lower operational costs As the retail industry evolves, there is a discernible trend toward leveraging…

Company

Emart24

quote · high
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Emart24 CUSTOMER STORY Ushering in a new era of personalized retail shopping 96% Reduct…

Country

South Korea

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…erless shopping experiences that enhance store efficiency and customer ease for convenience stores throughout Korea. Legacy infrastructure is complex and costly to scale Emart24 is focusing on ev…

Industry

Retail

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…a data platform that handles big data,” concluded Lee. Share this post Details Industry : Retail and Consumer Goods Use Case : Data + AI Platform Cloud : Azure Ready to get started? Try Databrick…

Problem

Emart24's data was scattered across multiple systems, including sales systems, POS systems and customer applications, making it difficult to manage daily transactions and operational data from more than 6,500 stores and 13 large distribution centers. Their legacy data platform required a lot of time and high resource costs to analyze more than 6 billion transactions and data for over 80,000 products, taking 27 hours to run a single analysis at a resource cost of 930,000 won, making it virtually impossible to provide to store management daily.

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…80,000 products,” said Jae Kyung Lee, CIO, IT System and Digital, at Emart24. “At this scale, our systems would take 27 hours to run a single analysis and required a resource cost of 930,000 won, making it virtually impossible to provide it to store management on a daily basis.” They also needed to empower an increasingly diverse set of data users across t…

Solution

Emart24 migrated to the Databricks Data + AI Platform on Azure, enabling data compression, skipping, partition pruning and caching, plus batch scheduling management, automated cluster management and task monitoring. The company built a data culture for cross-team collaboration and shared data with partner Shinsegae I&C via Delta Sharing for joint analysis. On the platform, Emart24 built AI-powered product recommendation solutions optimized for specific stores and locations, and pursued cashierless operations and improved demand forecasting.

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…has given them breakthrough capabilities and algorithm optimization resources. “With Databricks, our data team is now able to efficiently perform data compression, skipping, partition pruning and caching,” said Lee. “And we are able to more effectively manage our infrastructure with…

Business value

Emart24 reduced analysis time from 27 hours to one hour, a 96% reduction that helped launch new products and features such as cashierless shopping. Autoscaling and optimized clusters reduced cloud spend from $930,000 to $70,000, a 93% reduction in cost.

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…d cluster management capabilities and decoupling of compute and cloud storage. “Features such as autoscaling and optimized clusters have reduced our cloud spend from $930,000 to $70,000. This accounts for a 93% reduction in cost.” In the future, Emart24 will use analytics through the Databricks Data + AI Pla…

AI capabilities

Recommendation & Personalization, Predictive Analytics

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…eed and scale and Emart24’s data team operationalizing data at newfound levels, they’ve embarked on new AI-powered solutions that provide product recommendations that are optimized for specific stores and locations. They’re also able to deliver on new capabilities for retail stores, including…

Technology

Databricks Data + AI Platform, Delta Sharing

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…ny to support a naturally collaborative process. The company also revealed that it has been sharing data and conducting joint analysis through Delta Sharing with Shinsegae I&C, a partner of Emart24, for data sharing and joint analysis to improve retail cu…

Deployment model

Cloud

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…post Details Industry : Retail and Consumer Goods Use Case : Data + AI Platform Cloud : Azure Ready to get started? Try Databricks for free Learn more about our product Talk…

Deployment options

cloud

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…post Details Industry : Retail and Consumer Goods Use Case : Data + AI Platform Cloud : Azure Ready to get started? Try Databricks for free Learn more about our product Talk…

Business functions

Supply Chain & Logistics, Marketing

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…dation services for business owners, automated ordering services for stores and demand forecasting for logistics centers — Emart24 needed to overcome several challenges. Their data was scattered acros…

Headline outcome

derived · high
…/ Emart24 CUSTOMER STORY Ushering in a new era of personalized retail shopping 96% Reduction in time to insights, from 27 hours to 1 hour 93% Lower operational costs As the retail industry evolves, there is a discerni…

Use case type

Personalisation

classification · high
…eed and scale and Emart24’s data team operationalizing data at newfound levels, they’ve embarked on new AI-powered solutions that provide product recommendations that are optimized for specific stores and locations. They’re also able to deliver on new capabilities for retail stores, including…
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16 Sept 2026, 06:07 UTC
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