Smart Analytics for a Fuel Efficient Fleet!


One of our key customers, involved primarily in the transportation of diesel and petrol in and around the city of Bangalore was getting low mileage for his fuel tanker fleet, despite ideal road and load conditions.

The Challenges

Within the business of transporting fuel, the customer has a fleet of twenty fuel tankers to aid the process. These tankers are filled with said fuel from IOCL or HPCL filling stations that are stationed in and around Bangalore city. After the tanker is brimful of fuel, they then are offloaded to various petrol stations for the further sale of these fuels. These tankers then return to the IOCL or HPCL filling stations, and the process continues. As a result, the tankers travel at full capacity load one way and with an empty load on their way back. On the way to the distribution of fuel, most tanker drivers opt to drive in turbo or heavy mode unnecessarily, causing a huge drop in fuel efficiency. 

Before Table

The Analysis 

On careful analysis of the data, taking into account the total capacity of the tanker and weight of the fuel load, in relation to the driver’s driving habits, we found that there is an efficient way to reduce cost and increase mileage. Through Intangles’ proprietary Machine Learning algorithms, we calculated the engine mode-wise aggregates for –

  • Fuel Consumption/Distance under varied conditions to compute fuel economy
  • Reference Torque
  • Driving duration under defined engine modes

The analysis was interesting. 

  • Typically, a tanker is a 31 tonner. In the customer’s tanker, the maximum capacity of a load is 20 KL (20,000 liters). 
  • When we take into account the weight of fuel, 1 liter of diesel weighs 832 grams (0.832 kg) whereas the 1 liter of petrol weighs 735 grams (0.735 kg).
  • In a vehicle that carries 20 KL of diesel, the weight capacity limit will add up to 16,640 kgs (approximately 17 tonnes). In the case of petrol, the total weight capacity limit will add up to 14,700 kgs (approximately 15 tonnes). 

Hence, even when the tankers are filled to the brim, they are not running at full-weight capacity. In such a scenario, since the vehicle is primarily driven through level/even terrains, the recommended engine mode is the LIGHT mode. However, through our analytics, we found that the drivers drive in Heavy mode 59% of the time and in Light mode only 41% of the time. 

Before Pie Chart

The Impact

After analysing this insight, the customer started encouraging their drivers to merely switch from Heavy mode to Light mode of driving, thereby increasing the mileage from 2.85 kmpl to 3.44 kmpl. This translated to an increase of 20% in mileage.  

After Pie Chart

Analysing from the cost perspective, the current expenditure for diesel in one vehicle is Rs 1,48,437 ($1,990) taking into account an average distance of 5000 kms in a month, with a mileage of 2.85 kmpl. By switching to Light mode of driving, the mileage increases to 3.44 kmpl which results in the expenditure of only Rs. 1,19,861 ($1,606). The customer saves INR 28,576 ($385) on fuel costs per month, per vehicle just by using the fuel smart mode efficiently. Translating this to a fleet of 20 vehicles, the fuel savings add up to approximately INR 6,00,000 ($8,040) per month.

After Table


A city like Bangalore’s even topography is ideal for the customer’s fuel tankers to be driven in Light fuel smart mode. By making this smart switch, the customer has increased his fleet’s mileage by 20%. Now that’s a happy fleet!

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