Fuel. Overtime. Wear and tear.
For an LPG distributor, moving product is one of your biggest cost centers and one of the hardest to control.
Every extra kilometer a truck drives is money burned. Every half-empty bobtail is a wasted trip. Every out-of-gas emergency is a rush delivery you never planned for.
So here’s the real question: what if you could cut those delivery costs by around 20% — without buying a single new truck or hiring another driver? That’s exactly what LPG delivery route optimization, driven by a specialized ERP, is built to do.
Why the old way of planning routes is quietly bleeding your margin
Most distributors still plan deliveries the way they did 20 years ago. A dispatcher, a map, some experience and a lot of gut feeling.
It works — until it doesn’t. Here’s where it quietly leaks money:
- Fixed calendar routes: you deliver on a schedule, not on real need — so trucks roll out to tanks that are still half full.
- Reactive emergencies: a customer runs dry, and you send a truck across the region for a single drop.
- Backtracking and overlap: two trucks cross the same town because nobody sees the whole picture.
- Underloaded trucks: a bobtail leaves the depot at 70% capacity and comes back half empty.
None of this shows up as one big invoice. It hides in fuel, overtime and extra kilometers — every single day.
How ERP-driven route optimization actually works
A specialized LPG ERP replaces gut feeling with live data. Three pieces work together.
1. Real-time tank telemetry
Sensors on customer tanks report their fill level straight into the ERP. You stop guessing who needs gas — you see it.
No more rolling out to a tank that’s still 60% full, and no more surprise empties.
2. Degree-day forecasting
For tanks without a sensor, the ERP predicts consumption using degree-days. A degree-day measures how cold it was, and for how long, versus a reference temperature.
Combined with each tank’s historical usage (its “K-factor”), the ERP forecasts the exact day a customer will need a refill — before they run out.
3. Automated route building
Once the ERP knows who needs gas and when, it builds the routes for you:
- Groups nearby deliveries into the same trip.
- Sequences stops to cut total distance and driving time.
- Fills each truck to its optimal payload before it leaves.
- Adapts in real time when a new order or emergency comes in.
What used to take a dispatcher a full morning now takes minutes.
Where the 20% actually comes from
“Cut costs by 20%” sounds like marketing. It isn’t — it’s arithmetic.
Industry data shows that route optimization typically reduces delivery mileage by 20–25% through better stop sequencing and less backtracking.
Picture a simple example: 10 trucks, each covering 150 km a day. Cut 20% of those kilometers and you cut roughly a fifth of your fuel bill — immediately.
Put real numbers on it. Ten trucks at 150 km a day is 1,500 km daily. Trim 20% and that’s 300 km you never drive — every single day.
Day after day, week after week, that adds up to a five-figure fuel saving a year for a mid-size fleet. And you haven’t touched a truck, a driver or a customer.
But mileage is only the start. The savings stack up across four levers:
- ⛽ Fuel & mileage: 20–25% fewer kilometers driven.
- 📦 Higher payload: fuller trucks mean more product per trip — and fewer trips overall.
- 🚨 Fewer emergencies: predicted refills replace costly rush deliveries.
- ⏱️ Less overtime: scheduling 150 deliveries can drop from a full morning to under two hours.
Add them up and a 20% cut in delivery cost is a conservative target — not an optimistic one.
The savings you can’t see on a fuel receipt
Fuel is the obvious win. But the biggest leaks are the invisible ones.
A single out-of-gas emergency can wipe out the margin on a dozen normal deliveries — between the rush call-out, the overtime and the risk of losing the account for good.
Optimization removes those events before they happen. That’s margin you keep without selling a single extra litre of gas.
What it looks like in practice
Distributors moving from a generic system to a specialized LPG ERP like GBS report representative operational gains such as:
- Truck payload utilisation rising from 71% to 89%.
- Out-of-gas emergencies falling below 2%.
- Delivery scheduling time cut by 60% — same team, no new trucks.
Conclusion: stop driving on guesswork
Your trucks are the most expensive asset you put on the road. Every unnecessary kilometer eats straight into your margin.
LPG delivery route optimization turns your fleet from a cost you tolerate into an operation you control. The technology is proven, the payback is fast, and you don’t need a bigger fleet to grow your capacity.
And the gains compound. Every season of cleaner data makes the next forecast sharper and the next route tighter — so the system pays you back more the longer you run it.
GBS is an ERP built for LPG since 2001 — and a WLPGA supporter— with route optimization at its core.
👉 Want to see how much you could save on your own routes? Request a GBS demo and we’ll run the numbers on your data.
Sources: route-optimization mileage-savings benchmarks (20–25%) and degree-day / K-factor forecasting method
Propane industry sources: Zeo Route Planner, Great Valley Propane — Degree Days.
Operational figures (payload 71%→89%, emergencies <2%, scheduling −60%) are representative benchmarks from GBS internal documents.