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Supply chain and technology leaders hear the word AI in almost every freight pitch. Most of the useful work behind it is plain: reading data from trucks, matching it to the plan, and raising a flag when something goes wrong. This guide sets out what that work looks like in India today, where it helps, where it does not, and what to ask a provider to prove.
Safe & Secure Logistics has moved freight since 1951. SSL builds and runs a live cold-chain control tower for a leading ice-cream maker, reading live GPS and temperature from the trucks and reconciling it against the daily indent and placement. What follows comes from that kind of daily work.
Start with the data, not the model
A control tower is only as good as what it reads. In Indian road freight the main sources are:
- Live GPS from devices fitted on trucks, giving position, speed and time
- Temperature readings from reefer units, for cold-chain loads
- The indent, the order for trucks for the day
- Placement and loading records, often from email, sheets or a desk
- ERP movement data, such as shipments, quantities and lanes
- Proof of delivery from the depot or consignee
Each source is owned by someone different. Each has its own gaps. The first job is to match them to the same truck and the same trip. Without that, no model can help.
What the data actually does today
Live GPS and temperature feeds
GPS tells you where a truck is and when it got there. Temperature tells you whether a cold load stayed in range. The useful step is turning raw pings into events: reached the factory, started loading, left the gate, reached the depot. A good system also says when a feed has gone quiet. A truck with no ping for six hours is not “in transit”. It is unknown, and the screen should say so.
Indent against placement and loading
Every day a shipper asks for a number of trucks. The real questions are simple. How many trucks were placed? How many were loaded? Which depots were short, and why? A control tower compares the indent with what actually happened, plant by plant and depot by depot. This is where most daily arguments between shippers and transporters start, so the comparison must be done once and done the same way every day.
Detention at factory and depot
Detention is time a truck waits beyond what was agreed. With live GPS and a known boundary for each site, the system can see a truck waiting at a factory gate or a depot and flag it while the wait is still running. That lets the desk call the site the same day. Our guide on demurrage and detention explains how detention is usually charged.
Temperature breach alerts for cold chain
For frozen and chilled goods, the alert matters more than the report. If a reefer drifts out of range in transit, the desk needs to know within minutes, not at the depot. A sound alert names the truck, the reading, the time and the place, and it ignores a single bad reading from a faulty sensor. Our cold-chain shipping guide covers the wider discipline.
One reconciled number for every report
The most common failure is not a missing feature. It is two reports showing two different numbers for the same day. When each team computes its own count, the meeting turns into a debate about whose sheet is right. A control tower should compute each number in one place, and every report, scorecard and dashboard should read that one number.
Exception alerts instead of follow-up calls
Without a control tower, a desk spends the day calling transporters to ask where trucks are. With one, the desk only hears about trucks that need attention: late, detained, out of temperature range, or gone dark. The calls do not disappear. They become fewer and better aimed.
Where AI does not help yet
Be clear about the limits.
- It cannot fix bad data. A wrong vehicle number typed into a sheet stays wrong, however clever the software.
- It cannot prove what is inside a truck. GPS shows where a truck went. It does not show what it carried. Loaded status needs a loading record or a dwell at a load point, not a guess.
- It cannot replace the desk. Someone still has to call the depot, chase the transporter and decide what to do.
- Forecasts depend on history and plans. Demand changes, festivals, plant shutdowns and new lanes all break patterns. Treat forecasts as a guide, not a promise.
- Language models make things up. A chat assistant that answers questions about your fleet must be held to the data. If it cannot cite the record, it should say it does not know.
Why data quality decides the outcome
Most of the effort in a working control tower goes into data quality, not modelling. In practice that means:
- One master list of trucks, matched across GPS, rosters and ERP
- One location for each factory and depot, checked against real GPS
- Clear rules for when a reading is stale, and an honest label when it is
- A record of who changed what, and when
- Daily tie-outs that check the parts add up to the total
Unknown is better than wrong. A screen that says “awaiting feed” is more useful than one that shows a confident number nobody can trace.
What a shipper should ask a provider to prove
Ask for evidence, not a demo script.
| Ask | What a good answer looks like |
|---|---|
| Trace one truck end to end | Indent, placement, loading, trip, temperature and proof of delivery, each with a time and a source |
| Show stale data | The screen labels old readings as old, with an as-of time |
| Tie out one day | Placed, loaded, in transit and at depot add up to the total, with no gaps |
| Show one number in two reports | The same value appears in the dashboard and the monthly report |
| Show an alert and its follow-up | Who received it, who acted, and what happened next |
| Cover other transporters | The tower sees every carrier on the network, not only the provider’s own trucks |
| Explain the gaps | The provider names what it cannot see yet and why |
Our guide on 3PL vs 4PL and the control tower explains when a 4PL setup makes sense.
How SSL approaches it
SSL arranges 76,000+ truck hires a year through 110+ branches and offices. The 4PL control tower it built keeps one reconciled record of every indent, truck placement, trip, temperature reading and detention. Stale data is labelled stale, not shown as live. The desk chases each exception with the transporter or depot, and transporter scorecards and daily MIS come from the same record.
Checklist
Before you buy or build a control tower:
- All data sources listed, with an owner for each
- One master list of trucks and one location for each site
- Indent, placement and loading compared daily, the same way every day
- Detention and temperature alerts that name truck, time and place
- Stale data shown as stale, with an as-of time
- Every report reading one reconciled number
- A named person who acts on each alert
- One truck traced end to end before you sign
To discuss a control tower for your network, send a request with your plants, depots, transporters and daily truck count. To check a shipment already moving with us, use track.
Figures for Safe & Secure Logistics are for FY2025-26 from our booking register. How each one is counted is on the Facts and sources page.