AI Briefing#kurly
The latest AI and developer news about #kurly, with the original source and a short summary.
The latest AI and developer news about #kurly, with the original source and a short summary.
The Kurly Log team interviewed 29 customers at the Kurly Food Festa, confirmed low awareness, and rebuilt its second-half roadmap.
In expanding BeautyKurly, Kurly launched features in stages using a divide-and-conquer strategy and strengthened One Team collaboration.
Kurly developers shared self-purchased ('naedon-naesan') product recommendations by category—housewarming, dieting, and coding snacks—along with the culture of using Kurly in-house.
Kurly's Product Design team shared the step-by-step/list-type UX design strategy and 8 months of operational performance for its beauty personalization service 'My Kurly Style'.
Kurly shared its experience and deployment process for building a near-real-time demand forecasting pipeline using Apache Beam and Dataflow.
Kurly used TestContainers to automate integration tests that closely resemble real environments, improving deployment stability.
Kurly reduced data loading time from 30 minutes to 13 seconds and improved cost efficiency by adopting BigQuery.
Kurly Commerce Platform's Dev Culture FT wrapped up its 2022 activities, releasing employee survey results and future plans.
Kurly resolved the latency and storage issues of its existing data warehouse by adopting BigQuery.
Kurly presented a paper at IEEE IEEM 2022 on production planning optimization that uses a genetic algorithm to improve batch picking efficiency at logistics centers.
Kurly's product organization analyzed the worst cases of daily scrums and presented effective operating principles for team autonomy and goal achievement.
Kelly's Platform Engineering team attended Datadog Dash 2022 and experienced key new features, including official OpenTelemetry support, and the company's headquarters culture.
Kurly improved the navigation UX of its review service, which had been operating for 7 years, and completed the Phase 1 project.
Kurly applied a Digital Twin and a genetic algorithm to predict picking speed and reduce the number of product types, improving on-site efficiency.
Considering vendor lock-in and cost issues, Kurly chose Kubeflow over AWS SageMaker and optimized its production environment by applying Elyra, SealedSecrets, and more.
Kurly built its own MLOps platform using Karpenter and NVDP to implement automatic allocation and deprovisioning of GPU resources.
Kurly applied a genetic algorithm to reduce the number of unique products per basket by more than 10%, improving logistics processing speed.
While redeveloping its gift-sending system, Kurly combined Spring REST Docs with Swagger UI to build a system for documentation automation and test-based verification.
Kurly has unveiled five core design principles to strengthen consistency and reliability in product design.
Kurly's Delivery Product Team ran 3 team-building games—including maze crossing and paper tower stacking—at a workshop to strengthen trust and collaboration.
Kurly resolved a ByteBuffer concurrency error occurring in its AWS KMS-based encryption SDK using the duplicate() method.
Kurly held its first hiring-linked hackathon in 2022, selecting 4 final winning teams out of 156 teams and awarding them hiring perks and prize money.
Kurly broke away from its legacy system through the Next.js-based 'NX' project, improving the product detail page's LCP from 3.4 seconds to 1.5 seconds.
Kurly integrated Kafka Streams with Spring to simplify message merging logic and transition to a structure enabling real-time health checks when threads die.