What is causing Tootle and Pathao to charge differently?

 To make transportation fast, applications like Tootle and Pathao have been a lot of helpful. They give bike just as four-wheeler ride sharing choices. Simple utilization of applications and installment after a ride has made these applications available and famous. 

Be that as it may, the pertinent charges for these two applications have consistently been a subject of conversation. In the event that the administrations gave by these applications are something similar, why the costs are not? 

Okay! How about we examine that at this point. 



Tootle charges Rs 60 for the primary 3km and afterward Rs 18 for another 3km lastly Rs 25 for each more kilometer. This implies that it will charge the client Rs 214 for riding 10 km on a 2 wheeler. 

Tootle has additionally delivered its whistle balance. Clients can top up their whistle balance online through eSewa or Khalti. New Tootle clients are getting a Rs 200 free Tootle balance! 


Pathao charges a base admission of Rs 30 on all rides with the expansion of Rs 15 for every kilometer. They have minimal charge of Rs 45. However, Pathao gives weighty rebate codes continually. 

Pathao Car, which is its four-wheeler administration, charges Rs100 as an assistance charge. They charge Rs 39 for each kilometer and Rs 1 every moment. This sounds costly. Be that as it may, it is particularly not exactly the rates set by the Department of Transport Management which is Rs 3 every moment! 

For what reason are the costs unique? 

Looking at the rates for bikes of Pathao and Tootle we can see a distinction. With the paces of Tootle riding for 10 km would charge Rs 214 though, in Pathao, 10 km would charge Rs 180. The distinction of Rs 34 could cost whistle its clients. In the event that both the rides are from a similar course and in bike why the distinction? 

Pathao utilizes markdown codes and less expensive rates to draw in more shoppers. In any case, a more noteworthy justification for the distinctive estimating is flood valuing. 

pathao and whistle costs 


Flood evaluating is a methodology where organizations set up adaptable valuing rates dependent on current requests. It is otherwise called dynamic estimating. This implies they can change their rates as indicated by current calculations, contender valuing, and market interest. 

This methodology is applied when the stockpile is not exactly the interest. Henceforth, expanding the costs to acquire more and cut out request is the manner in which flood evaluating works. 

In ride-sharing applications like Tootle and Pathao, appeal can be seen during available time. Or on the other hand nights where more individuals are going back and forth from their workplaces. 

Nights are likewise when the vast majority stick around consequently the interest is high during these hours. What's more, during these, bringing costs ups in cutting interest and procuring an incredible benefit. 

Flood valuing procedure is appropriate in different fields as well. For example, in lodgings where celebration seasons have expensive booking costs. 

For a basic illustration of flood valuing, we can likewise take taxis in the city. The cost during the daytime and the cost during the evening are diverse for a similar objective. 

Additionally Read: Battle of Ride Sharing Apps in Nepal! Which is awesome?? 


Uber, the American ride sharing stage, utilizes flood valuing for its rates. They have conceded and posted with regards to how they use flood valuing on their administration. The straightforward 3 stage cycle of Uber's flood estimating is as per the following: 

The interest for rides increments. This is the point at which the interest is growing out of the stockpile. There is more interest for rides than there are vehicles. Henceforth there should be an answer. 

Cost increments. At the point when the interest begins to increment, hopefully so does the cost. This is a generally excellent chance for the organization to acquire. 

Pay or Wait. In the event that the client is truly in a hurry it is absolutely impossible however to follow through on the costly costs. In any case, in the event that the client would not like to, they would need to stand by or investigate different decisions. 

Uber has exceptional elements in its application to address the flood issue. At the point when the client's region has a higher flood evaluating the application tone on the guide becomes red. 


Dissimilar to Uber, our Nepali ride sharing applications don't have elements to address the flood issue. However there is flood estimating that separates the cost. 

Our applications like Pathao and Tootle don't have a huge increment like the taxi administrations in the city. In any case, they do make a difference flood estimating relying upon the interest and supply of that space. 

All things considered, this can fall off confounding as many individuals don't know about the flood estimating calculations nor do the applications address them. In any case, this is a valuing methodology applied everywhere.

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