The next meaningful step for AI in logistics is not another chatbot. It is software that can take responsibility for a bounded piece of operational work.

That distinction matters. The progression also extends the earlier Decision Intelligence discussion: once software can interpret consequential decisions, the next architectural question is how far it should be allowed to prepare or execute them.

A chatbot can explain why a shipment is late. An agent can potentially identify the late shipment, retrieve the order and customer context, evaluate alternatives, contact a carrier or execution system, propose a response, obtain approval if required, execute the approved action, and monitor whether the problem was resolved. The difference is the transition from information to work.

What Makes an Agent Different?

The term “agent” is being applied broadly, but the useful logistics definition is relatively simple: software that can pursue a defined objective across multiple steps and tools within explicit boundaries. That can include retrieving information, reasoning over constraints, calling APIs, updating applications, generating communications, and escalating decisions. The key word is bounded.

Logistics is full of decisions with financial, service, safety, and contractual consequences. Useful agentic systems therefore need clear authority rather than vague autonomy.

Exception Management Is a Natural Starting Point

Logistics operations generate repetitive exceptions that consume large amounts of human attention.

A shipment misses a milestone. A carrier rejects a load. A dock appointment needs to move. A delivery window is at risk. A trailer is unavailable. An order changes after transportation has been planned.

Today, resolving these issues often requires a planner to open several systems, gather context, send messages, compare alternatives, and update the execution plan. An agent can potentially perform much of that preparatory and administrative work.

Context Is the Hard Part

The quality of an agent depends less on how fluent its language model sounds and more on whether it has the right operational context. A late shipment cannot be evaluated from ETA alone. The agent may need to know inventory availability, customer priority, delivery windows, alternative carriers, warehouse constraints, freight cost, contractual rules, and the downstream consequence of doing nothing.

This makes agentic logistics an architecture problem. Agents need governed access to execution systems, event data, business rules, and relevant knowledge.

From Recommendation to Action

There is a progression of autonomy that organizations can control. At the lowest level, the agent assembles context for a human. Next, it recommends alternatives. Then it may prepare the transaction but require approval. Eventually, selected low-risk decisions can be executed automatically within predefined thresholds.

This staged approach is more credible than jumping directly to autonomous logistics. A carrier communication can be drafted before it is sent automatically. A dock reschedule can require approval above a service threshold. A route change can be autonomous only when cost and customer impact remain inside policy.

Decision Rights Become Software Architecture

Agentic systems force companies to make implicit operating rules explicit.

Who is allowed to spend an additional $500 to protect a shipment? Can software change a customer appointment? When can an alternate carrier be used? Which customers require human approval? What level of confidence is required before an action can proceed?

These questions already exist in human operations. Agents make them impossible to ignore because authority must be encoded.

Auditability Is Non-Negotiable

An operational agent needs a record of what information it used, what options it considered, what action it took, and under what authority. That matters for trust, performance improvement, compliance, and troubleshooting.

If an agent repeatedly recommends expensive expedites, the organization needs to understand why. If humans override a recommendation frequently, that pattern should be visible. If an autonomous action creates an unintended consequence, the decision chain must be reconstructable. AI governance therefore becomes part of logistics operations rather than a separate policy exercise.

The Economics Are About Capacity

The most immediate economic opportunity may be planner capacity. Experienced logistics people spend substantial time collecting information, following up, copying data between systems, sending routine communications, and resolving repetitive exceptions. Those tasks are necessary but do not always require the full judgment of the person performing them. Agents can shift human attention toward ambiguous, high-value, and relationship-sensitive decisions. That is augmentation in a very practical sense: not replacing the planner, but increasing the number of exceptions the operation can handle without increasing coordination overhead at the same rate.

Why Logistics Is a Strong Agentic Domain

Logistics has characteristics that make it attractive for agents: high event volume, many repetitive workflows, multiple connected systems, measurable outcomes, and constant exceptions. It also has characteristics that make careless autonomy dangerous: physical consequences, contractual commitments, safety considerations, uncertain data, and conflicting objectives. That combination favors bounded autonomy with strong observability and escalation.

Agents Need a Machine-Readable World

An agent cannot manage a trailer it cannot identify, a dock state it cannot observe, or a shipment event that arrives hours late. The more logistics moves toward software action, the more important the digital representation of physical operations becomes.

That is the next layer of the architecture. Trucks, trailers, containers, warehouses, docks, robots, and infrastructure are increasingly becoming data-producing objects. The physical logistics network is acquiring an intelligence layer.

Related Logistics Viewpoints research

The New Architecture of Logistics
Systems Engineering in Logistics
2026 Autonomous Exception Management Market Map
Unlocking Supply Chain Potential with AI Agents and Multi-Agent Workflows
Previous in this series: The New Economics of Logistics Visibility

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Freight fraud has become one of the most persistent operational problems in transportation, and at the Descartes Innovation Forum, Descartes outlined a series of updates that bring more carrier-vetting, tracking, and fraud-detection data together across MyCarrierPortal and MacroPoint.

The bigger takeaway is that fraud prevention is moving earlier in the process and continuing further into execution. Rather than relying primarily on checks after a load has been tendered, Descartes is bringing carrier identity, insurance, equipment, tracking history, lane history, and real-time location data together to give users more context before a load moves and while it is in transit.

Tracking History Becomes Part of Carrier Vetting

Within MyCarrierPortal, users can see risk assessments, insurance information, recent carrier activity, and MacroPoint tracking intelligence. That includes the number of orders a carrier has tracked, tracking compliance, and how the carrier is connected, whether through mobile, ELD, or a TMS. Descartes also displays historical operating patterns, allowing users to see where carriers have actually picked up and delivered freight rather than relying solely on what a carrier says it can do.

That adds a useful behavioral dimension to carrier qualification. A carrier may claim broad geographic coverage or experience on a particular lane, but historical tracking data can provide additional context on where that carrier has actually operated. Users can also search carriers based on equipment type, certifications, and lanes, with lane information supported by MacroPoint intelligence rather than carrier-entered data.

For brokers and shippers, this starts to bring carrier discovery and carrier risk management closer together. Instead of treating sourcing and vetting as separate activities, the same operating history that helps identify a carrier can also help determine whether that carrier looks appropriate for the load.

Identity and Equipment Validation Add Another Layer

Descartes also demonstrated additional identity controls intended to give users more confidence that they are dealing with the carrier they expect. The platform can validate users through two-factor authentication and establish whether an individual is associated with the carrier.

On the equipment side, Descartes can compare scheduled equipment against inspection, crash, and MacroPoint ELD data and, when sufficient evidence exists, identify whether equipment appears to belong to the carrier. Users can also validate a bid using a driver’s cell phone number and see driver-level tracking statistics, including tracked orders, tracking compliance, spoofed orders, and FraudGuard alerts.

The practical value is that carrier vetting is no longer dependent on only a small number of static data points. Descartes is bringing identity, equipment, tracking history, and live transportation data together to give users more context during carrier vetting.

Notification Center Focuses Attention on Exceptions

Once a load has been tendered, the focus shifts from qualification to monitoring. Descartes’ Notification Center is designed to surface exceptions rather than requiring users to manually watch every shipment.

Users can configure alerts for conditions such as route deviations and other shipment events, and notifications can be delivered by email, text message, or API. The objective is to reduce the amount of raw tracking information users have to monitor and focus attention on events that may require action.

The underlying tracking data can also be examined at a more detailed level. Descartes showed how users can see whether a location ping originated from a telematics device or mobile application, the distance and time between pings, and associated device information such as IP address. That gives users more information when something does not look right and needs further investigation.

ELD Plus Adds Dual-Source Tracking

ELD Plus was one of the more interesting capabilities demonstrated during the session. Historically, a shipment might be tracked using either a driver’s mobile device or the truck’s telematics connection. With ELD Plus, Descartes can use both tracking sources during the same tracking session.

That allows a driver to retain mobile-app capabilities such as stop check-ins, proof-of-delivery uploads, and two-way messaging while the shipment is also being tracked through an ELD connection. From a fraud-prevention standpoint, comparing the two tracking sources gives users another way to identify inconsistencies that may warrant investigation.

If the mobile-device location and telematics location begin to diverge, the discrepancy can trigger follow-up and can also generate a Notification Center alert. Users can then see at the individual-ping level whether the location came from the mobile application or the telematics source.

Carrier Lookup Extends the Intelligence Beyond MyCarrierPortal

Descartes also showed a carrier lookup capability within MacroPoint for customers that may not use MyCarrierPortal. Users can search by DOT number or phone number and see information drawn from FMCSA data along with MacroPoint tracking history.

The lookup can show fleet size, active MacroPoint orders, previous tracking activity, spoofing flags, tracking methods, and recent lane history. One example discussed during the session was the relationship between reported fleet size and current shipment activity. If a carrier has 100 power units but appears to be active on 600 loads, that does not establish fraud, but it gives the user a reason to take a closer look.

That is probably the right way to think about many of these signals. An individual data point may not tell you much by itself. The value comes from combining multiple indicators and identifying situations where the operating data does not match the pattern you would expect.

Freight Fraud Prevention Becomes More Continuous

The broader takeaway from the session is that freight fraud prevention is becoming less about checking a carrier once and more about using multiple data sources across the lifecycle of the shipment. Before tender, that can include carrier identity, insurance, equipment, operating history, lane history, and tracking behavior. After tender, the focus shifts toward location integrity, route deviations, device behavior, dual-source tracking, and other exceptions.

What Descartes showed suggests a broader shift away from isolated carrier checks toward a more continuously updated view of risk. Human judgment still matters, but users now have more context available when deciding whether a carrier looks appropriate before tender and whether the shipment continues to look legitimate after it starts moving.

For transportation organizations dealing with carrier impersonation, double brokering, spoofed locations, and other forms of fraud, that is an important change. The objective is not to treat every anomaly as proof of fraud, but to identify the situations that deserve attention earlier and give users better information when they investigate them.

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At the Descartes Innovation Forum, Walmart offered an interesting look at how it is thinking about the intersection of marketplace growth, fulfillment, transportation, and seller performance. Bryce Caswell, Director of Ship with Walmart for Walmart Marketplace, framed the discussion around preparing sellers for the holiday season, but the broader message was more important.

Walmart is increasingly extending its logistics capabilities to marketplace sellers. That includes fulfillment, multi-channel inventory, parcel transportation, seller protections, returns, pricing tools, and advertising. Taken together, those capabilities point toward something larger than a traditional marketplace model.

Four Variables Drive Marketplace Performance

Caswell described four foundations Walmart believes sellers need to get right: assortment, listing quality, competitive pricing, and shipping. Those variables are closely connected. A strong assortment does not convert if product content is weak, competitive pricing does not help if products are unavailable, and even a good offer can lose the sale if the delivery promise is unattractive or unreliable.

The logistics point is especially important. Caswell emphasized that customers want sellers to do what they say they are going to do when they say they are going to do it. Speed matters, but consistency matters just as much, particularly during holiday peaks when fulfillment networks and carrier capacity come under greater pressure.

Walmart Is Expanding the Fulfillment Model

Walmart Fulfillment Services, or WFS, is one piece of that strategy. Sellers can place inventory inside Walmart’s network and have Walmart pick, pack, and ship orders. Caswell said WFS rates average about 15 percent below competing alternatives and highlighted the absence of fuel surcharges and peak-season storage charges.

A particularly interesting development is Walmart’s multi-channel fulfillment strategy. Sellers can maintain a common pool of inventory within WFS and use that inventory to serve orders coming from multiple sales channels. Instead of managing separate inventory pools for Walmart, a merchant’s own website, and other marketplaces, sellers can potentially fulfill demand from one shared inventory position.

That matters because inventory fragmentation remains a real problem in omnichannel commerce. A company can have too much inventory assigned to one channel while another channel experiences a stockout. A shared inventory model improves utilization and reduces some of the operational complexity associated with serving multiple digital channels.

Ship with Walmart Extends the Strategy Into Transportation

Walmart is also moving further into transportation with Ship with Walmart. The service is designed for sellers that continue to fulfill from their own facilities rather than using WFS. Walmart negotiates rates with national, regional, parcel, and LTL carriers and makes those rates available to marketplace sellers.

Caswell said Ship with Walmart rates average roughly 50 percent below retail carrier rates, although the actual savings vary by carrier and service. Walmart is using its carrier relationships to offer marketplace sellers preferred transportation rates, creating another reason for merchants to operate within the Walmart ecosystem.

The model goes beyond discounted transportation. Walmart also protects seller performance when the seller ships on time but the carrier subsequently misses the delivery commitment. The program includes protection of up to $100 per qualifying package for certain losses after shipment, which shifts some transportation risk away from the seller.

Ship with Walmart is therefore more than a discounted transportation program. It combines transportation procurement, execution, seller protections, and marketplace performance management.

SellerCloud Shows Where This Is Going

Caswell also discussed an upcoming integration between Ship with Walmart and SellerCloud. Sellers using SellerCloud will be able to access Walmart shipping rates and protections directly within that environment rather than moving between separate systems.

This is consistent with the broader move toward embedded logistics. Transportation and fulfillment services increasingly become capabilities inside the systems where commerce is already being managed rather than stand-alone applications that users have to access separately.

That is an important architectural shift. The more logistics capabilities can be embedded directly into seller workflows, the easier they become to use and the more tightly commerce execution and logistics execution become connected.

Walmart’s Physical Network Still Matters

Walmart also has an advantage that pure-play marketplaces cannot easily replicate: its physical store network. Marketplace customers can return eligible purchases through more than 4,600 Walmart stores, reducing some of the friction associated with buying from an unfamiliar marketplace seller.

That store footprint is increasingly more than a retail asset. Stores can function as return points, inventory nodes, fulfillment locations, and customer-service locations. Walmart’s combination of digital marketplace reach and physical infrastructure gives it operating options that many competitors simply do not have.

From Marketplace to Logistics Platform

The presentation was framed around helping sellers prepare for the holiday season, but the broader logistics story is more interesting. Walmart is assembling a growing set of services around marketplace commerce, including fulfillment, shared inventory, transportation procurement, delivery-performance protection, returns, pricing automation, advertising, and seller analytics.

The common thread is that Walmart is extending a broader set of logistics capabilities directly to marketplace sellers. Rather than asking merchants simply to list products on Walmart.com, the company is increasingly providing tools and services that help them manage more of the operational process around those sales.

Taken together, these capabilities make Walmart Marketplace look increasingly like a commerce and logistics platform, rather than simply another digital sales channel.

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