Responsibilities
- Collecting, monitoring and analysing data related to the company’s operations, inventory, supply chain, logistics, and replenishment, including orders from international and domestic suppliers and a complex internal network of distribution centres that spans across 4+ countries.
- Using logistics tools and software, AI and emerging technologies such as LLMs, ML and automation to evaluate the impact of logistics policies and systems, forecast demand, predict disruption, manage risks, and improve RoI.
- Design and deploy data-driven proposals to integrate AI agents and LLMs into existing workflows to automate routine tasks, identify supply chain bottlenecks and efficiently address them in real time, favoring agile, high-impact solutions over protracted development cycles.
- Reporting, visualisation and presentation of key insights to senior leadership, identifying opportunities and providing recommendations for improvement.
- Proactively develop and propose data-based initiatives that improve logistical performance, champion AI adoption and advocate for digital and operational optimisation across the organisation.
Requirements
- Experience in operations, logistics, and supply planning
- Familiarity with emerging technologies such as AI, LLMs, ML, and automation
- Ability to collect, manage, analyse, and interpret complex data related to supply chain and logistics
- Ability to transform data into strategic insights and actionable recommendations for optimisation and cost reduction
