A shipment is late. The customer wants an update.
So the broker checks the TMS. Nothing. Emails the carrier. Silence. Calls dispatch, gets a new ETA, logs it into the warehouse portal to reschedule, copies the update back into the TMS and emails the customer.
Opens the next email. Same thing.
This is nobody's job description, but is the reality for most. It's where the day goes.
Here's the thing nobody talks about: the biggest bottleneck in transportation isn't trucks or drivers. It's how fast humans can copy-paste information between systems that refuse to talk to each other.
The supply chain isn't one network. It's millions of disconnected nodes — carriers, brokers, shippers, warehouses — each running different software, different processes, different everything. A single shipment touches many companies and many people. A mid-size broker works with hundreds of carriers and shippers, each with their own way of confirming a booking: phone, email, portal, fax. Yes, still fax.
Every attempt to fix this shared the same flawed assumption: get everyone onto one platform. EDI tried in the 1980s. Freight marketplaces tried. TMS platforms tried. API-first startups tried. Each solution just added another tab for the ops team to manage.
So your ops team became the integration layer. The human API.
Booking a carrier? Punch the load into your TMS, then three load boards, then email a broker, then make calls until someone bites. Tracking? Email, wait, check a portal, copy the update. Need a POD? Follow up three times across two channels. Scheduling a warehouse appointment? Call, call back, hold the line, log the slot.
Every company's throughput is capped by how many of these transactions their team can manually process per day. Want to grow? Hire more coordinators. Revenue scales linearly with headcount. That's the ceiling that keeps margins thin and burns people out.
AI agents break this pattern, not by replacing the mess, but by working within it.
Unlike every prior solution, agents don't need clean APIs or standardised processes. They make phone calls, read emails, log into portals, parse PDFs. Carrier A confirms by email, Carrier B needs a call, Carrier C has a portal. The agent handles all three.
They bring the scale of software with the adaptability of a human operator.
Your ops team stops routing data and starts doing the work that actually differentiates your business: pricing strategy, carrier relationships, creative problem-solving for when things go sideways. The high-judgement work that no agent can replace.
The supply chain's information problem was never a lack of software. It was that the software still needed humans to bridge the gaps between systems. Agents close that gap.
This shift isn't coming, it's already begun. Early movers aren't waiting for the ecosystem to standardise. They're deploying agents that work within the fragmentation instead of fighting it.
At Guided, we build AI agents that work across the messy, fragmented interfaces your team navigates every day: phone calls, emails, portals, documents. The result is software that works, without changing the way anyone works.
