Logistics Support Agents

From use case: Logistics Support Agents

C.H. Robinson, the largest third-party logistics provider in North America, offers the most detailed public case study of AI logistics support agents at scale. According to an April 2025 company announcement, the logistics provider has performed over three million shipping tasks using a fleet of more than 30 generative AI agents. These agents automate emailed price quotes, order processing, pickup and delivery appointment scheduling, and in-transit shipment tracking. The company reported that emailed load tenders that previously waited up to four hours for human processing are now completed in under 90 seconds, with the order agent handling 5,500 orders per day and saving more than 600 hours of manual work daily. According to a 2025 FreightWaves report, the company's AI agents for missed less-than-truckload pickup resolution now automate 95% of missed pickup checks, eliminating more than 350 hours of manual work each day and reducing unnecessary return trips by 42% across more than 11,000 customers. The company reported a 30% productivity increase across 2023 and 2024 attributed in part to generative AI deployment.

In the parcel and last-mile segment, a global logistics provider has deployed AI-powered chatbots and virtual assistants across website, mobile, and social media channels to handle shipment tracking, delivery scheduling, and exception resolution. According to a 2025 Helm WMS case study, one mid-size retailer reduced WISMO inquiries by 70% through proactive AI-driven communication, saving approximately 84,000 British pounds annually while improving customer satisfaction scores. In dock scheduling, Manhattan Associates launched a next-generation AI-powered dock scheduling platform in September 2024 that, according to Emergen Research, enables distribution centers to reduce truck wait times by up to 40% through real-time carrier integration and optimization algorithms.