Sunday, 8 Feb 2026
|
76% of logistics professionals say their transportation management system (TMS) gives them visibility. But only 28% feel it helps them actually reduce delays. Sound familiar? The problem isn't tech awareness. It's tech overwhelm. You're tracking more loads, more exceptions, and more partner networks than ever before - yet ETAs still slip, trucks still sit, and customers still complain.
Why?
Because most TMS platforms weren’t built to solve freight delays. Not really. They were built to log and route. To plan and update. But solving today’s freight problems takes more than just data.
Modern TMS platforms do a great job showing where your freight is. But when something breaks - a missed pickup, detention at cross-dock, inaccurate BOL - that's when TMS limitations show up.
Here’s the pain point: most TMS alerts are passive. They flag the issue, sure, but don’t resolve it. So a dispatcher has to call the carrier. A broker has to ping the warehouse. And your operations team burns time chasing delays rather than preventing them.
Manual intervention slows everything. It also creates gaps other platforms can't fill:
In the last 3 years, average load delay times have jumped from 43 minutes to over 57 minutes per location, especially for LTL moves across regional terminals. Drayage congestion around major ports like LAX and SAV is routinely adding 24-36 hours, even with pre-scheduled appointments.
At the same time, driver availability isn't bouncing back. According to the ATA, over 80,000 driver positions remain unfilled, with turnover staying above 90% in some fleets.
Add to that the explosion of multi-touch freight moves via 3PLs and cross-docks. One misstep midstream throws off your entire route schedule.
You end up asking your TMS to do too much with too little context.
What’s needed now isn’t more data. It’s smarter workflow automation. That means proactively resolving exceptions, not just reporting them.
Here’s what that can look like:
It’s not science fiction. It’s orchestration. The next evolution in freight technology is not just container tracking or real-time GPS - it’s decision automation. That means embedding logic into your day-to-day tools that predicts friction, triggers updates, and adapts.
Debales.ai is built to complement your existing TMS, not replace it. We plug into platforms like MercuryGate, Descartes, or Oracle TMS and help logistics teams act faster when freight starts to veer off course.
Using AI-trained workflows, our system flags risks like missed appointments or detention hours in real time - and suggests playbooks based on your past resolutions. That might mean nudging a drayage team to reroute, syncing updated ETAs to Salesforce for your customers, or re-optimizing vehicle loading for delivery windows still in reach.
And because we work across your TMS, WMS, and ERP, you’re not just seeing problems - you’re solving them before they cost you hours.
You don’t need to overhaul your freight tech stack to reduce delays. Start small but strategic:
TMS platforms aren’t broken. But they’re only part of the equation. If you want fewer delays and faster recovery, you need more than just visibility. You need a system that acts for you - not after you.
Freight will always have risks. But with the right workflows, you can get ahead of them. Not by replacing dispatchers or brokers, but by giving them tools that think two steps ahead.
Software won’t move freight. But it can move faster than phones and spreadsheets ever could.
Sunday, 8 Feb 2026
Billing errors cost 3PLs millions annually. Discover why they persist, how automation fixes them, and what logistics teams can do today.