ETAs from most TMS platforms are a polite fiction. They're based on planned routes, average speeds and a static buffer. AI-driven ETAs use what's actually happening — and the gap in accuracy is now hard to ignore.
Why Traditional ETAs Drift
- Built from planned schedules, not live data.
- Buffers are conservative, so customers learn to ignore them.
- Disruption signals (weather, dwell, traffic) aren't continuously folded in.
What AI ETAs Use Instead
- Live tracker velocity and heading.
- Historical performance on the same route, same time of day, same season.
- Cross-device signals — dwell at customer sites, door events, last-known indoor BLE position.
What This Means for Customers
- Tighter delivery windows that customers actually trust.
- Earlier warnings of slippage — hours before the delivery time, not after it's missed.
- Less time on the phone explaining why the TMS was wrong.
Your TMS is a planning tool. Live AI-driven ETAs are an operational tool. Both are useful — but only one tells customers the truth.