Logistics Companies Deploy AI to Curb Rising Delivery Costs
With 96% of firms facing higher costs, logistics providers are shifting toward AI-at-scale to stabilize margins.
Updated on Oct. 16, 2026 in Artificial Intelligence
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A 2026 report on EMEA last-mile logistics finds that 96% of surveyed shippers saw individual delivery costs rise by 9% year-over-year. While 69% of these companies are implementing AI for operations, only 18% have reached full-scale deployment.
Why it matters
Rising delivery expenses are now outpacing revenue for three-quarters of logistics providers, driving a urgent pivot toward AI-enabled route and demand forecasting to stabilize operating margins.
Surveyed companies report a typical delivery cost increase of 9% compared to the prior year. While 69% of firms are implementing AI tools, only 18% have deployed these systems at scale.
The details
Companies are applying AI models to optimize demand forecasting, customer service interactions, and delivery-time predictions. These tools aim to reduce costs stemming from operational exceptions, failed delivery attempts, and customer support volume. Primary barriers to broader AI adoption cited by respondents include difficulties with data quality, integration with legacy systems, and a lack of necessary technical skills.
Timeline
2026: The report on EMEA last-mile delivery trends was published.
The Tech Race
This development aligns with the shift from exploratory pilot projects toward production-grade AI in logistics. Scaling these tools is now a competitive necessity for firms struggling with rising overheads.
For logistics managers and fleet operators, the data underscores a move toward externalizing delivery partners to gain operational flexibility, with 36% of shippers planning to increase outsourcing. Reliability remains the top priority for 63% of companies, signaling that consumers should expect a continued focus on accuracy over pure speed.
The takeaway
The widening gap between rising operational costs and revenue is forcing a transition from AI experimentation to scale. Logistics providers should monitor the 18% of firms already at-scale to determine if AI can successfully decouple delivery costs from revenue growth.
Further reading
Explore deeper analysis on deployment benchmarks in Artificial Intelligence.
Source note: This article includes information reported by Trans.
Live Poll
Do you prioritize delivery reliability over speed when ordering items online?
