Key Takeaway
Joining WMS, TMS and carrier events into one timeline lets you predict which shipments will miss their window and tell the customer before they ask.
The customer’s email arrives at 9:40 on a Thursday. Their freight was due Tuesday. They want to know where it is.
Your customer service rep opens the TMS and sees the load is in transit. They open the WMS and see it left the dock a day late because a pick wave slipped. They call the carrier and learn the truck is sitting at a terminal waiting on a linehaul connection. Twenty minutes later, they have an answer. The customer has been waiting two days for it.
Every piece of that story was known inside your systems before the customer wrote in. Nobody put it together.
Why delays get discovered late
Most logistics operations have good data and poor visibility. The difference is whether anyone joins it up.
The WMS and TMS don’t share a timeline. Your warehouse system, whether it’s Manhattan, Blue Yonder, Körber or something else, knows when an order was released, picked, packed and shipped. Your TMS knows when the load was tendered, accepted, picked up and what the carrier is reporting. Each system has half the story. Neither one is watching for the moment those halves add up to a missed delivery.
Carrier status data is uneven. Some carriers send clean EDI 214 updates. Some push API events. Some update a portal you have to check. A few only tell you anything when you call. Treating all of those as one feed is work nobody has done.
Alerts are based on rules, not history. If your system flags anything, it’s usually a hard rule: shipment not delivered by the due date. By then it’s already late. What you need is a warning on Monday that Tuesday’s delivery is in trouble.
Customer service starts every case from zero. When a customer asks, your team has to rebuild the timeline by hand across three systems and a phone call.
Visibility platforms solve part of this by tracking the truck. They tell you where freight is. They don’t know your warehouse was behind, your customer’s receiving window, or that this lane with this carrier runs late every other Friday.
What a custom late shipment alert tool does
The tool we build connects the systems you already have and watches every open order from release to delivery. Here’s how it works.
A shared timeline across WMS, TMS and carrier data
The first layer joins your data. For every order, the tool builds a single timeline: order received, released to the floor, picked, shipped, tendered, picked up, in transit events, out for delivery, delivered.
It pulls from your WMS and TMS through their APIs or database exports, and takes in carrier status from 214s, API feeds and tracking providers like project44 or FourKites if you use them. Each event is tagged with its source, so your team can see where a piece of information came from.
Predicting which shipments will miss
With a shared timeline, the tool can see risk early. It compares each shipment against your own history:
- How long this lane usually takes with this carrier
- How often this carrier misses on this day of the week
- Whether the order left the dock later than normal for its due date
- Whether the last in-transit scan is older than it should be
- Whether the destination has a tight receiving window or appointment
From that, it estimates which shipments are likely to miss their delivery window and how confident it is. A load that shipped half a day late on a lane with plenty of slack is low risk. A load that shipped on time but hasn’t scanned in 30 hours on a two-day lane is not.
The predictions come from your data, not industry averages. Your lanes, your carriers and your customers behave in their own ways.
Alerts with the cause and a suggested message
When a shipment crosses your risk threshold, the tool alerts the right person on your team. The alert includes:
- What’s likely to happen, for example arrival a day after the committed date
- Why, for example the shipment left the dock late and the carrier missed a terminal connection
- A revised ETA
- A suggested message to the customer, written in your tone
Your rep reads it, adjusts if needed, and reaches out before the customer has a reason to ask.
Optional proactive customer notifications
For customers or order types where you’re comfortable, the tool can send notifications directly under rules you set. You might allow it for routine B2B replenishment orders but always route key accounts through a person.
Where your team stays in control
You decide how much the tool does on its own:
- Which customers get proactive notifications and which always go through a rep
- What risk level triggers an alert
- Who gets alerted for which accounts, regions or carriers
Every alert and every message is logged with the data behind it. When someone asks why a customer was told their freight would be late, the answer is on record.
What it takes to build this properly
A demo of this is a dashboard that turns red when a due date passes. That’s reporting. The production version has to work in the gaps.
Identity matching. The WMS knows an order number. The TMS knows a load ID. The carrier knows a PRO number. One load can carry many orders, and one order can split across loads. The tool has to keep those relationships straight or every downstream alert is wrong.
Missing and late data. Carriers skip scans. Feeds go down. A production tool knows the difference between a shipment with no news and a shipment that’s actually stuck, and it accounts for which carriers are reliable reporters.
Calibrated predictions. If every alert turns out to be a false alarm, your team stops reading them in a week. The model has to be tested against your historical shipments so the thresholds match what your team considers worth a call.
Real commitments. Delivery promises vary. Some customers get a date, some get an appointment, some have a contracted transit time. The tool needs to know which promise applies to each order.
Security and access. Customer and order data stays in your environment, with access controlled by role.
What you need to provide
- Read access to your WMS and TMS, or regular data exports if direct access isn’t possible
- Your carrier status feeds and any tracking provider you use
- Your delivery commitments by customer: dates, windows, appointments or transit times
- A customer service lead who can review early alerts and tell us which ones were useful
How the build works
You describe the problem. We scope it with you: which systems, which carriers, which customers and what a useful alert looks like.
You get a fixed price tied to that outcome, agreed before the build starts.
AI agents do the build, supervised by senior engineers who design the data model, review the code and test the predictions against your historical shipments. That’s what keeps a fast build reliable in production.
You get a production-grade tool, deployed and connected to your systems, in days to weeks. You own the code.
Frequently asked questions
We already pay for a visibility platform. Why would we need this?
A visibility platform tracks where the truck is. This tool combines that signal with your warehouse data, your history and your customer commitments. If you already have a visibility feed, it becomes one of the inputs.
How much history do you need for predictions?
More is better, but you don't need years. A few months of shipments on your main lanes is usually enough to start, and the tool keeps learning as new shipments complete.
Will it work if our WMS or TMS is old or custom?
Usually, yes. If there's no API, we work from database access or scheduled exports. We confirm the approach during scoping.
Can it message customers through our existing tools?
Yes. Alerts and messages can go out through email, your CRM, your customer portal or whatever channel your team already uses.
