Logistics management company CH Robinson uses generative electronic artificial intelligence large-scale language models (LLMs) to automate email transactions with shippers, allowing shippers who use email to be more digitally connected to the company. We offer the same speed-to-market and cost savings as shippers.
This technology sorts incoming emails, reads them, and replicates the steps a person would take to fulfill a customer’s request. For example, shippers still often choose to send an email requesting a price quote rather than logging into a digital platform. On an average business day, a global logistics company receives more than 11,000 emails from customers and carriers requesting truckload prices.
“Our customers can get instant price quotes through the Navisphere platform or any of the 35 largest TMS or ERP systems we integrate with. “Someone, like a busy warehouse manager with lanes of cargo, may feel more comfortable using email,” said Mark Albrecht, vice president of artificial intelligence. “Before generative AI, responding to email requests could not be automated. Customers had to wait for a human to pass on a quote from a dynamic pricing engine. Now, our new technology reads and provides quotes in an average of 2 minutes and 13 seconds. CH Robinson does this at scale, freeing up employees to support more complex requests for the same customers.”
The company says the technology responds to 2,000 customer quote requests per day, while opening the door to automation for other transactions that shippers and carriers choose to conduct via email. It will open. His LLMs, which this technology uses, can be trained to identify emails about loading bids, pickup reservations, or shipment tracking updates.
For spot quoting, CH Robinson has already trained its model to differentiate between truckload, less than truckload (LTL), intermodal, or air freight quote requests.
