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.
An ETA is only as good as the underlying journey record. GoAndTrack builds ETAs on the same live feed behind its shipment visibility view.