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Speaker "Jubin Thomas" Details Back

 

Topic

Optimizing Ecommerce Supply Chain with AI and Machine Learning

Abstract

Orchestrating Ecommerce Supply Chain is complex for retailers operating across physical and digital channels. Inaccurate inventory visibility and sub-optimal sourcing lead to high shipping costs and missed deliveries. In this presentation, the speaker will discuss how advanced analytics and AI can optimize omnichannel order flows. He will outline real-world solutions he architected that leverage artificial intelligence and machine learning to increase omnichannel efficiency by over 15% for leading apparel retailers. The key takeaways which the presenter will discuss in detail are: - Building a central inventory visibility system using AI and predictive algorithms. - Using machine learning to optimize order sourcing and routing. - Predictive analytics to allocate omni-channel inventory dynamically. - Reinforcement learning to optimize allocation across fulfillment centers.
 

Profile

Jubin Thomas, a seasoned Technical Architect at Signet Jewelers with over 15 years of experience in IT and ECommerce Supply Chain, resides in Philadelphia, USA. With a strong track record in spearheading transformative technology initiatives, he also serves as an Independent Researcher specializing in the integration of Machine Learning with Supply Chain operations. Jubin is the author of Revolutionizing Supply Chains with Industry 4.0: Harnessing AI and Big Data Analytics for Optimization, available on Amazon.
 
As a senior IEEE member, frequent technical speaker and AI working council member of the NRF (National Retail Federation), he has presented at renowned technical conferences, including IEEE conferences, AGENTIC Conference, the Voice & AI Conference, LambdaConf, Conf42 MachineLearning, and the BlackIsTech Conference. Jubin has been honored with the esteemed GRA Award and the Titan Business Award for excellence in ECommerce and is a respected judge for numerous hackathons, including the IEEE Hackathon.