DAIM: Inside The Algorithm | AI in Industrial Manufacturing: Inventory Optimisation and Real-Time Process Control

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In this episode of Inside the Algorithm, Dr Jeremy Bradley sits down with Dr Gueorgui Mihaylov, Principal Data Scientist at Haleon and Visiting Research Fellow at King's College London, to explore what happens when rigorous mathematics meets the messy reality of a global consumer health supply chain.

Gueorgui walks through two of the most technically ambitious AI projects running inside Haleon today. First, the AI Inventory Planner, an ensemble of machine learning models, survival analysis, and stochastic simulation designed to reduce inventory holdings by double digits while maintaining or improving service levels. Second, the Golden Batch project, an attempt to bring real-time process control to pharmaceutical manufacturing using data-driven corridor modelling of a highly non-stationary, non-Newtonian fluid system.

The conversation covers global forecasting algorithms, Weibull-based delivery modelling, principal component analysis for process visualisation, and the long road from working prototype to enterprise adoption.

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If you want to learn more about how AI is revolutionising demand forecasting and supply chain optimisation, listen to the Data & AI Mastery episode between host Dr Raoul Gabriel Urma and Peter Laflin, Director of Data and Analytics at Morrisons:

Apple: https://podcasts.apple.com/gb/podcast/bringing-art-to-science-using-ai-to-build-customer/id1779783413?i=1000677504555

Spotify: https://open.spotify.com/episode/6HcwcdIGOguBZp1vADE1Z0

YouTube: https://www.youtube.com/watch?v=NKdjiYVC9H8

Glossary Terms:

Inventory Management: The systematic process of ordering, storing, tracking, and controlling a company’s goods to ensure the right items are available in the right quantity, place, and time.

Stochastic Phenomena: Events, processes, or systems that are inherently random, unpredictable, or probabilistic in nature, rather than deterministic.