What AI really does in supply chain & manufacturing
How to move from reporting to predicting
Real use cases you can actually apply
AI is changing how supply chains and operations work, and reporting alone is no longer enough you need to predict and act ahead. In this session, you’ll go beyond the buzzwords and see how AI is actually used to solve real business problems, with practical examples you can relate to. You’ll understand how data can be turned into smarter, faster decisions, how AI creates real business value, and most importantly, where and how you can start applying it in your own work.
Rehab Mohsen is a business professional and data analyst with over 12 years of experience in the professional market ,8 years of specialized expertise in data analytics across digital analytics, healthcare, and manufacturing sectors. She has a strong track record of transforming complex data into actionable insights that support strategic decision-making and operational efficiency.
Rehab is also working as a Supply Chain Analyst in the FMCG industry, where she strengthens her skills in performance analysis, forecasting, and process optimization. Known for her analytical mindset and business acumen, she combines technical proficiency with a practical understanding of organizational needs.
Beyond her corporate work, Rehab is passionate about fitness, dance, and performance arts, reflecting her dynamic personality and ability to balance analytical precision with creativity.

Nada Elbarkouky is the CEO & Co-Founder of InfoTraff, an AI and computer vision company that transforms existing CCTV into real-time operational intelligence.
With a Master of Science in Marketing, she works with enterprises across manufacturing, logistics, and retail to bring AI into day-to-day operations. Her work in factories focuses on real-time visibility into production and safety, including defect detection, machine downtime, and PPE compliance.
InfoTraff is deployed across 100+ locations, enabling teams to act in real time without replacing existing camera infrastructure.
Nada is a guest lecturer, startup mentor, and industry speaker, advising on practical, scalable AI adoption.