Jeongyookgak's Chorocmaeul builds a customer churn prediction model on Databricks to drive CRM campaigns
Chorocmaeul, a Korean D2C eco-friendly food franchise acquired by Jeongyookgak, built a customer churn prediction model on the Databricks Data + AI Platform that analyzes customer purchase cycles to trigger automated CRM messaging during periods of churn risk. The Databricks-powered CRM campaigns increased active customers by at least 30%, improved retention by 10%, tripled customer conversion on coupon reminders and more than doubled marketing ROI.
Overview
Chorocmaeul, a Korean D2C eco-friendly food franchise acquired by Jeongyookgak, built a customer churn prediction model on the Databricks Data + AI Platform that analyzes customer purchase cycles to trigger automated CRM messaging during periods of churn risk. The Databricks-powered CRM campaigns increased active customers by at least 30%, improved retention by 10%, tripled customer conversion on coupon reminders and more than doubled marketing ROI.
This entry has 14 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Chorocmaeul's Oracle cloud-based data mart and fragmented, siloed data storage and analysis systems only supported basic management indicators, could not dynamically adjust performance indicators, and required about three days to transfer requested data plus manual analysis in a separate environment, leaving the company unable to perform real-time customer and product management.
The solution
Chorocmaeul adopted the Databricks Data + AI Platform to centralize data from Azure Cosmos DB, GCP Firebase and Oracle Cloud Infrastructure, enabling real-time exploratory analytics, and built a customer churn prediction model that analyzes customer purchase cycles to power a personalized customer management strategy and trigger automated CRM messaging during periods of churn risk.
Reported business value
The Databricks-powered CRM campaign increased the number of active customers by at least 30% and improved customer retention by 10%; real-time actions such as unused-coupon notifications produced a threefold increase in customer conversion and more than doubled marketing ROI.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other retail entries in the register.
Omoda's generative AI stylist lifts conversion rate 2.5x for online fashion shoppers
Dutch fashion retailer Omoda built AI stylist, a virtual shopping assistant powered by Google Cloud's Gemini Pro 1.5 model with Vertex AI Multimodal Embeddings and Vector Search. AI stylist holds natural-language conversations with customers, understands their needs, and builds complete outfits combining clothing, shoes, and accessories rather than just matching similar products, with an Intelligent Brand Matching feature that factors in brand affinities. Customers who use AI stylist convert at a rate 2.5 times higher than average, and the tool also improves inventory management through better trend anticipation.
Furniture.com Transforms Online Search with Databricks
Furniture.com unifies over 60 retail partners and 1.5 million SKUs on the Databricks Data + AI Platform, using Delta Lake, MLflow and Unity Catalog to run its ML lifecycle. Its Find It AI product-discovery tool uses generative AI to create a synthetic image representing shopper intent, then matches it against the product catalog for image-based search. A Collections model uses LLMs to automatically group related products, finding more than 16,000 collections across 50+ partners with no human intervention. Users who interact with Find It AI show a click-through rate 8x higher than baseline and a return rate 3.2x higher than baseline.
Furniture.comDatabricks Data + AI Platform · Delta Lake · MLflow +3How Walmart Achieved Enterprise Transformation Through Digital Experience Innovation
Working with implementation partner Nativa on LivePerson's technology, Walmart customized and integrated conversational technology into its WhatsApp channel, including a FAQ-Transactional Bot to streamline searches, inquiries and purchases. The solution delivered a 60% increase in productivity and a 10 percentage point improvement in CSAT/NPS, along with operational savings through automated customer service processes.
WalmartLivePerson · WhatsApp
Zalando enhancies customer engagement and operational efficiency with Mistral
Zalando, a European e-commerce platform, integrated Mistral models hosted on AWS Bedrock into its platform to add natural language processing and machine learning capabilities. The integration supports personalized recommendations, improved customer service and streamlined operations for the retailer's shopping experience.
ZalandoMistral · Amazon BedrockWas this helpful?
Your feedback helps us improve our use case database