P&G targets $200M–$300M in savings with AI-powered dynamic routing and sourcing optimization

P&G, the second-largest publicly owned consumer goods company, saw its supply chain productivity fall below pre-pandemic benchmarks. Logistics inefficiencies compounded across the network: truck scheduling gaps were generating driver idle time. Critically, optimization was fragmented — teams addressed isolated segments of the logistics network rather than working across the full chain, including the retailer layer.

P&G responded with its global Supply Chain 3.0 initiative, deploying machine learning across end-to-end logistics operations. P&G also has an internal 'AI Factory', and CIO Vittorio Cretella said the company's machine learning platform is leveraged across 80% of P&G's global business. Specific applications include ML-driven truck scheduling to minimize driver idle time, AI-powered dynamic routing, sourcing optimization, and fill rate tools. The initiative enables joint optimization with retail partners across the full supply network.

P&G anticipates $200M–$300M in cumulative cost savings from AI-driven routing, sourcing, and fill rate improvements — figures cited by CEO Jon Moeller directly in an investor earnings call. The AI Factory has delivered a 10x improvement in data scientist speed and efficiency, compressing model development cycles that previously took months. With 80% global business coverage, impact is systemic rather than localized. Key outcomes include:

• Routing efficiency: Reduced driver idle time through ML-optimized truck scheduling
• Fill rate improvement: Tighter supply-demand alignment with retail partners
• Collaborative supply chain: Retailers now participate in network-wide optimization alongside P&G rather than managing demand signals in isolation

• Extending AI optimization to retail partners, not just internal logistics, unlocks network-wide savings that siloed approaches cannot reach.
• Dynamic routing and sourcing work best as integrated capabilities — the anticipated $200M–$300M in savings spans multiple logistics areas.