Welcome to FourKites Loft
AI Orchestration Platform That Works Across Any Enterprise System with Intelligence from Outside Your Four Walls
ENTER THE LOFT
AI Orchestration Platform That Works Across Any Enterprise System with Intelligence from Outside Your Four Walls
ENTER THE LOFT
A customer asked me recently whether FourKites could automate workflows beyond logistics. They had use cases in procurement, finance, and customer service. They assumed they’d need a separate platform for those.
I told them we could do that. But the conversation stuck with me because I realized we haven’t been clear enough about what FourKites actually does now.
So let me be direct: FourKites automates workflows well beyond supply chain. And it makes sense that we would.
Companies organize themselves so that supply chain information flows into nearly every other function.
Finance needs delivery confirmation to trigger early payment discounts. Procurement needs carrier and supplier performance data to update scorecards. Customer service needs order status to dispute invalid penalties. Production planning needs inbound ETAs to adjust schedules. Insurance needs shipment documentation to process claims.
These decisions happen in finance, procurement, customer service, and operations. But they all start with data about shipments, orders, inventory, and deliveries.
For years, the handoffs between “supply chain knows something” and “another department acts on it” have been manual. Someone pulls a report. Someone else verifies it. A third person takes action in a different system. This is how most companies still operate. And, most of the time, it’s a reaction to a disruption rather than aligning these teams and arming them with systems that enable proactivity.
We can automate operations because we already have the data those decisions require.
Over the past year, we’ve deployed AI agents — we call them Digital Workers — that handle specific supply chain functions autonomously.
Tracy monitors shipments around the clock, investigates delays, and coordinates with carriers. At Coca-Cola, she cut response times for “where’s my truck” queries from 90 minutes to seconds. Sam handles supplier collaboration, reading shipping documents and creating tracking automatically. Alan manages customer and vendor scheduling, reducing team workload by half at facilities like US Cold Storage. Polly automates proof-of-delivery collection and disputes. Cassie handles customer service inquiries and processes claims.
These aren’t experiments. They run in production at Fortune 500 companies, handling thousands of decisions per week.
The same architecture that powers those Digital Workers can automate workflows customers describe to us — including workflows that live outside traditional supply chain functions.
If a customer tells us they want to automatically dispute invalid customer penalties using verified delivery records, we can build that. If another wants to flag freight budget overruns and recommend optimizations before month-end, we can build that. Another needs to adjust production schedules when inbound material delays are detected. We’ll build that, too.
The workflow might execute in finance or procurement or customer service. But the trigger — the data that kicks it off — is already flowing through our platform.
Look at what becomes possible:
None of these are traditional “visibility” use cases. All of them depend on supply chain data we already have.
There are plenty of companies selling agentic AI platforms right now. Many of them are good. They’ll connect to your systems, learn your SOPs, and build automations for whatever you throw at them.
What they don’t have is context and intelligence from an external network that reveals impacts to their operations.
We process millions of supply chain datapoints daily across more than 1,600 companies. When we build an automation for a customer, it draws on patterns from that entire network. Which carriers actually perform on which lanes. How delays in one region tend to ripple through to facilities in another. What distinguishes a real exception from normal variability.
A general-purpose platform starts with your data alone. We start with yours plus a decade of operational context from the world’s largest supply chain network.
That’s why our agents can act, not just answer questions. They know what matters.
I want to be precise about this because precision matters when you’re choosing vendors.
We automate workflows involving supply chain data and the systems we integrate with — ERPs, TMSs, WMSs, CRMs, and the dozens of other systems our customers connect to. If the workflow depends on shipments, orders, inventory, carriers, facilities, or deliveries, we can build it.
We’re not trying to automate your marketing campaigns. We’re not building HR onboarding bots. That’s not our business.
But if you came to FourKites for visibility and you’re now wondering whether you need a separate platform to automate procurement workflows, or finance workflows, or customer service workflows, you probably don’t. We can do that, and we’ve been doing it.
Here’s what I’ve learned over ten years of building this company: customers come to us for network intelligence. That’s the draw. The ability to see what’s happening across their supply chain and benchmark against patterns they couldn’t detect on their own.
What keeps them is discovering we can do more than they expected. They came for track-and-trace visibility. They stay because we can automate the manual work that’s been eating up their teams for years — across functions, not just within logistics.
That’s the business we’re in now. And I want the market to understand it clearly.
Matt’s vision for cross-functional automation isn’t a roadmap; it’s a reality. Visit the FourKites Loft to see how our Digital Workers are already orchestrating global supply chains and automating workflows from the dock to the front office.
Ready to talk implementation? Our experts are ready to help you map out your automation journey.
