The article shares how PMs use AI to automate repetitive tasks, allowing them to focus on planning and judgment.
Olive Young will host its first tech conference, define:OMNI, for free in Seongsu on November 19.
Achieved 99% consistency in a 10-year-old back-office system by cross-verifying source mismatches with AI classification and decompilers.
Olive Young enabled order cancellations during the 'Preparing for Shipment' stage, reducing customer service inquiries by 90% compared to normal levels.
Olive Young shared the necessity and design philosophy of a transitional architecture that introduced CDC and Kafka to a low-traffic SMS system.
Olive Young unveiled an alignment learning approach that simultaneously improves the naturalness and format compliance of AI Pick recommendation cards by leveraging NLL metrics.
Olive Young's global store development team utilized AI tools and parallel development methods to implement a Cycle Counting feature for LA stores as a PoC in just 3 days and applied it on-site.
Olive Young improved the scalability and performance of complex delivery logic by applying the Strategy Pattern and Composite Pattern.
Olive Young improved customer convenience by changing the cancellation deadline from the logistics task assignment time to the picking completion time.
CJ Olive Young Product Center resolved cross-team communication gaps and enhanced psychological safety through an AI-based random matching lunch program.
Olive Young launched a dedicated ChatGPT plugin and revealed a prompt optimization strategy where PMs and developers collaborated to reduce LLM parameter misinterpretation.
Olive Young completely redesigned its existing, complex POS payment structure in order to reduce checkout time.
Oliveyoung shares a case study on building a unified back office in a micro frontend environment that uses various frameworks.
Oliveyoung redesigned its pipeline with an event-driven architecture (EDA) to resolve the delays and inefficiencies in inventory data processing that arose during omnichannel expansion.
Oliveyoung Global Engineering Center held its first workshop, combining a GenAI hackathon with a review of its 3-year roadmap.
By tying together product, coupon, gift, and promotion benefit data through Kafka, delays of up to 45 minutes were cut down to a matter of seconds.
Olive Young experimented with AI as a collaboration partner across the entire development process—not just code generation—through an AWS AI-DLC workshop.
Oliveyoung used a magic-themed worldview to deliver an experience of collaboration rather than a vision presentation.
QA directly cut off DB, cache, and queue connections to verify customer experience and post-recovery data consistency.
Olive Young Store split its integration approach between Redis cache and Kafka events depending on data characteristics.
By building a system that judges the optimal fulfillment center in real time between OMS and WMS, the company cut delivery lead time by 14 hours.
Oliveyoung Store has expanded beyond simple information delivery into an O2O experience connecting discovery, pickup, and in-store visits.
By separating Alimtalk delivery using Spring transaction synchronization and Kafka, the team improved consistency and scalability.
By using Partitioning, batch processing time was reduced from 13.5 days to 5 minutes, and Serverless v2 cut costs by 40%.