IT staff manually pulled data with a 3-day lag. Now, predictive models forecast demand to optimize fresh safety stock.
Korea's first eco-friendly D2C food franchise serving 2.8 million customers through 360 stores nationwide.
Data scattered across multiple clouds required manual extraction by IT staff, creating a three-day lag between request and receipt. This latency...
“With the Databricks Data Intelligence Platform, Jeongyookgak and Chorocmaeul have internalized their data engineering and analytics capabilities, moving from a traditional data mart with a fixed annual maintenance fee to a pay-as-you-go data intelligence platform that delivers data insights at a reasonable cost and beyond.”
D2C online grocery platform specializing in ultra-fresh meat and food products.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Scattered POS data made daily reporting impossible. Unified pipelines now drive store-specific AI forecasts and cashierless shopping.
Siloed data left procurement reactive. A unified model now forecasts raw material prices with 96% accuracy, optimizing inventory.
Manual audits missed 90% of pricing errors. Now, autonomous robots scan shelves to ensure 98% on-shelf availability.
Manual fixes slowed order processing to 2.5 hours. AI code optimization cut that to 30 minutes and reduced incidents by 50%.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.