AI could cut urgent orders by 59 % in supply chain logistics
In brief
- AI could reduce urgent orders by 59 % by redesigning logistics processes.
- Forecasting errors might drop by 52 % and inventory costs by up to 41 %.
- An energy manufacturer achieved ROI in 4 months on two million logistics lines.
According to a Hackett Group study published in October 2026, integrating AI into supply chains could significantly reduce costs and delivery times. Organizations redesigning their processes around AI might cut urgent orders by 59 %, forecasting errors by 52 %, and inventory holding costs by up to 41 %.
The "AI World Class Supply Chain" report highlights that transforming logistics operations requires more than automating existing tasks—it demands a complete overhaul of processes. Additional benefits include a 12 to 17 % reduction in "Plan-to-Deliver" costs, a 15 to 24 % decrease in resource needs, and a 38 % shortening of shipping delays.
These projections are based on benchmark comparisons between organizations and depend on their digital maturity. The study cites the case of an energy technology manufacturer that deployed AI agents in logistics processes, achieving a return on investment in less than four months for two million annual delivery lines.
What it changes for you
- Industry & ManufacturingManufacturers could cut logistics costs and improve delivery reliability by integrating AI into their planning processes.
- Transport & LogisticsLogistics players could reduce urgent orders and optimize inventory management by redesigning processes with AI.
This summary gives you the essentials. The full article, its figures and quotes are on Le Monde Informatique : IA.
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