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Lotus's operates a large-scale omnichannel retail network in Thailand, running 2,000+ physical stores alongside digital platforms with over 10.8 million transactions per week. The tech stack spans Node.js, Java, Spring Boot, PostgreSQL, and cloud (AWS, GCP), with active investments in real-time analytics (Kafka, Mixpanel, Amplitude) and ML infrastructure (SageMaker, Vertex AI, MLflow) — suggesting a shift toward data-driven inventory and pricing optimization. Pain points cluster around space utilization, stock forecasting, and scaling AI across business units, while hiring velocity is accelerating with a manager-heavy mix, indicating operational complexity and growth in backend systems.
Tech Stack 119 technologies
Core StackNode.js Nest.js Java AWS PostgreSQL Redis BigQuery Redshift Mixpanel Amplitude SageMaker MLflow Vertex AI GraphQL Kafka Kubernetes NestJS Swift Kotlin React Next.js Spring Boot Apache Camel GCP REST AWS SQS Word Excel PowerPoint Microsoft Project+86 more
AdoptingSwift
What Lotus's Is Building
◆Challenges
- Optimizing space utilization
- Closing performance gaps with target
- Assortment gaps
- Managing stock provision and clearance
- Compliance with food regulations
- Improving occupancy rate
- Scaling ai across business units
- Managing peak order volumes
- Stock availability
- Income forecasting
▲Active Projects
- Bi solutions
- New product assortment planning and execution
- O2o alignment initiatives
- Store space optimization initiative
- Viral promotion campaign development
- Category strategy & planning
- Online promotion & campaign planning
- Coordinate mall design layout and tenant mix plan
- Major cutovers and go‑lives
- Quality control process development for fresh food products
Hiring Activity
95 roles · 45 in 30d
Department
Seniority
Notable leadership hires: Technology Lead
Company intelligence
