Kai Lun Koh

Management Consultant | Supply Chain & Operations @ Accenture

Singapore

About

Supply planning and inventory management professional with strong expertise in demand planning, supply optimization, and end-to-end coordination across complex, multi-market environments. Highly skilled in translating data into actionable insights to improve service performance, inventory health, and end-to-end supply execution.

Experience

  • Management Consultant at Accenture
    Mar 2026 - Present · 4 mos

    - Management Consulting, Supply Chain & Operations

  • Product Supply Manager at Procter & Gamble
    Sep 2022 - Jan 2026 · 3 yrs 5 mos

    - Supply Planning, APAC Personal Cleansing Care

  • Toll Group (Full-time · 2 yrs 2 mos)
    • Analyst - Modelling & Analytics
      Jul 2022 - Aug 2022 · 2 mos

    • Management Trainee
      Jul 2020 - Jun 2022 · 2 yrs

      - SgIS mid-term scholar - Part of Toll’s two-year Global Graduate Program, which comprises of four 6-months long rotations at various business units to understand the supply chain/logistics operations in the APAC region - Applied analytical (Minitab), business intelligence (Power BI) and data mining methods for the establishment of operational improvement insights - Developed optimization solutions that leverage existing operational or external applications to improve processes within Intralogistics - Spearheaded data transformation and digital automation projects using RPA, VBA and Power Automate tools

  • Laboratory Assistant at National University of Singapore
    Aug 2019 - Nov 2019 · 4 mos

    - Assist in the conduct of IE3110 (Simulation) lessons

  • Supply Chain Production Planning & Control Intern at Rolls-Royce
    Dec 2018 - Jun 2019 · 7 mos

    - Monitoring of production output and Work-in-Progress (WIP) in Fan Blade Singapore (FBSG) - Programmed a lead time monitoring chart using SAP GUI scripting, resulting in significant savings in man hours - Managed database of the Trent fan blades (T900, T1000, TXWB) - Conducted production orders lead and cycle time data analysis to enhance on-time finish performance of FBSG production system