Build & Maintain Automated Workflows: Design and deploy workflows using n8n (a workflow automation tool) to connect logistics data streams with Smart (internal/external sheets/databases) and Claude AI.
Functional Gap Analysis: Utilize automated prompts to analyze daily and weekly performance reports, automatically flagging operational bottlenecks and explaining why certain lanes or hubs are underperforming.
Data Pipeline Monitoring: Ensure the automation pipeline runs smoothly, translating complex logistics metrics into easily digestible, automated deep-dive summaries for management.
Track Simple Performance Metrics: Monitor core Key Performance Indicators (KPIs) such as Success Failure Rates (SFR), Lead Time compliance, and Hub-to-Hub processing speeds.
Optimize Lane Performance: Identify underperforming transit lanes and collaborate with regional teams to establish simple, actionable control metrics that improve overall lane health.
Reporting & Data Visualization: Help build and maintain simple dashboards or tracking sheets to give the operations team a clear view of daily performance trends.
Requirements:
Familiarity with or a strong desire to learn low-code automation tools (like n8n, Make, or Zapier) and leveraging LLM APIs (like Claude or OpenAI).
Data Literacy: Solid proficiency in Microsoft Excel or Google Sheets (vlookup, pivot tables, basic data structuring). Experience with SQL or Tableau/PowerBI is a strong plus but not mandatory.
Communication: Good communication skills in Thai and English to collaborate with cross-functional and regional teams.
