Eyad Alghamdi

• Delivered enterprise AI recommendation system processing 15M+ transactions across 1+ year of data for Saudi
Arabias largest FMCGdistributor, enabling data-driven decision-making for major global brands (P&G, Clorox,
Quaker, Ferrero)
• Increased targeting precision by 56% through segment-aware recommendation engine utilizing 406 distinct
customer profiles, directly supporting revenue growth initiatives for international brand portfolio
• Optimized inventory management and supply chain operations by developing temporal SKUreplacement
detection algorithms that identified product substitution patterns, reducing stockout risks and improving product
availability
• Achieved 56% precision@20 and 46% recall@20 using collaborative filtering models with walk-forward
validation, outperforming baseline recommendation approaches by 23%
• Drove cross-functional alignment between Supply Chain, Trade Marketing, and IT teams to embed business logic
into technical solutions, ensuring AI recommendations aligned with strategic commercial objectives