Invisible work may be costing you more than you realize.

Chasing down shipment updates, scanning dashboards for exceptions, reconciling invoices line-by-line, and other repetitive tasks consume a significant part of the average logistics team’s day. Constant context switching contributes to higher decision fatigue and lower job satisfaction, leading to more employee turnover for your business.

In the high-stakes, error-sensitive supply chain environment, the mental load of managing transportation networks is a serious drain on team capacity. While some organizations have turned to outsourcing their more tedious tasks like freight audit and payments, carrier selection, and managing claims, that’s not the most cost-effective solution for keeping up with logistics workflows.

Upgrading your transportation management system (TMS) to an agentic AI-native solution takes the strain of invisible work off your team so they can focus on less tedious parts of their jobs. It evolves your operating model from reactive oversight to intelligent orchestration.

“A TMS with agentic AI can take real-time inputs, boil them down to what truly matters and requires attention, and then suggest optimization opportunities,” says Jason Traff, President & Co-founder of Shipwell. “It provides a cognitive lift in the day-to-day while keeping human team members in the loop throughout.”

Built-In TMS Intelligence Solves Some of Your Biggest Logistics Challenges

Today’s supply chains are dramatically different than they were even a few years ago. You have a lot more data to collect, analyze, and turn into actions. Without a fast, efficient way to manage all of that information, your team has to deal with issues after they’ve happened instead of being able to effectively make sense of all the data to come up with proactive, strategic solutions.

A TMS with built-in agentic AI can solve these urgent problems, freeing your logistics team to handle higher-value tasks.

Traff says, “AI is fantastic at summarizing the patterns of data, identifying anomalies, learning from historical performance, and providing a real-time snapshot that makes sense of all the data flowing through your supply chain.”

Data analysis isn’t the only reason to consider an agentic AI-powered TMS. Embedded AI gives your customers self-service shipment visibility and gives you faster resolution times for routine inquiries, allowing your team to shift from reactive support to strategic engagement with both carriers and customers.

Agentic AI solves some of the biggest challenges your logistics team faces:

• Track and trace. Instead of your team spending hours on manual tracking and routine communication, your AI-enabled TMS provides continuous shipment monitoring and proactive alerts.
• Freight audit and payment. An employee performing this task manually has to review high volumes of invoices and match them with contracted rates and accessorials. An AI agent takes over the first-pass validation and alerts your team only if it spots a discrepancy.
• Carrier performance management. AI continuously evaluates carriers against your defined performance metrics like service levels, on-time deliveries, exceptions, and damage rates. Armed with this data, your team can make strategic relationship decisions faster and more efficiently.
• Routing decisions. With real-time weather, traffic, geopolitical, and capacity information, your AI agent can suggest or execute route adjustments to keep your shipments moving when disruptions happen.

For a busy logistics employee struggling to complete critical tasks like cost analyses, carrier density maps, strategic carrier discussions, and more, these AI-driven actions and insights are crucial.

How to Get Started with Agentic AI

Adopting AI into your busy logistics operation doesn’t require a complete system overhaul, but it does require discipline. The key is to define guardrails (like humans in the loop for higher-risk actions), pilot each use case before going all-in, and measure your successes like error and escalation reduction and employee time saved.

You don’t have to do everything all at once, either. You can start with a single high-friction workflow like exception monitoring or invoice validation. Then, add use cases as the AI shows ROI and your team gets used to working with it.

A TMS with built-in agentic AI offers you a proactive approach to logistics management without exhausting the people in charge of keeping your freight moving.

Is your logistics team buried under repetitive tasks? Find out how Shipwell’s AI-empowered TMS can help.