RunBuggy is expanding its artificial intelligence-powered operations platform with a coordinated set of initiatives designed to improve shipment visibility, reduce preventable delays and support efficient growth as its auto transport marketplace volume increases.

In a news release, the company said its marketplace has grown more than 10 times since 2019, currently managing of thousands of live vehicle shipments at any given time, including dealer inventory transfers, auctions, repossessions, fleet movements and consumer deliveries.

That growth has made maintaining accurate ETAs, driver assignments and vehicle readiness more complex, RunBuggy said. With information arriving coming through phone calls, texts and emails, the process required significant manual follow-up by operations teams, with issues often surfacing after delays or downstream impacts occurred.

“Our goal with AI is not to replace people,” CEO Kevin Malik said. “It’s to remove friction from the system. As we scale, we need better information earlier and fewer preventable failures. That’s what allows our teams to focus on judgment, problem-solving and delivering a reliable experience without adding unnecessary operational burden.”

RunBuggy’s plan for AI is to shift operations from reactive follow-up to proactive intervention. The platform analyzes order data to identify issues that lead to delayed deliveries, wasted transporter trips or elevated security risk, which are included in daily alerts to operations and customer support teams, shared with shippers for transparency, and used to prioritize internal support tickets.

A partnership with conversational AI platform Sierra provides AI-powered voice agents to automate large portions of routine data collection. The agents are designed to conduct outbound calls to transporters and drivers to gather real-time ETAs, confirm driver assignments and capture contextual updates when shipments change.

Information from those conversations goes directly into RunBuggy’s operational systems, the company said, allowing orders to progress faster and improving visibility in the marketplace.

“RunBuggy approached AI with the discipline of an infrastructure company — unlike the AI tourism we see in many businesses,” Sierra CEO and co-founder Bret Taylor said. “They were clear about their goals and use cases, and that accuracy, security and operational integration were key. That focus meant we were able to build agents that operate inside real workflows and deliver measurable results at scale, significantly reducing time to impact.”

RunBuggy said the AI-driven voice workflows are currently handling more than 10,000 calls per month and are expected to scale to 15,000-20,000 calls monthly by the end of the year. The technology has reduced monthly calls by about 20% and eliminated some 15% of manual operational touchpoints, according to the company, saving nearly 1,000 hours per month for exception management and customer support.

A recently published case study focused on RunBuggy’s automated voice and data-collection workflows with Sierra is available.

RunBuggy said it expects to add missed ETA recovery, pickup ETA confirmation, driver assignment verification and inbound call handling to the agents’ capabilities.