Scattered POS data made daily reporting impossible. Unified pipelines now drive store-specific AI forecasts and cashierless shopping.
A Korean convenience store chain operating 6,500 locations and 13 distribution centers that processes over 1 million daily customer interactions and 6 billion total transactions.
Data was scattered across sales, POS, and app systems, creating a bottleneck where a single analysis took 27 hours to run. This latency made it...
“In the retail industry, delivering an instantly gratifying experience is key to winning share of wallet. With Databricks Platform powering our data and AI initiatives, we’ve reduced analysis times by 96% while lowering operational costs by 93%.”
South Korean convenience store chain providing fresh food and daily retail services.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Conducted joint analysis and data sharing with Emart24 to improve retail customer experiences.
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