We all remember when Uber first arrived in Sri Lanka. There was excitement, and also scrambling about to get our first free ride. For a while, everything was good. Uber seemed to be performing as per our expectation. For once we had an affordable, comfortable way to get to where we were going. The icing on the cake for me was that I could pay via Credit/Debit card so I no longer had to keep stopping at ATMs to withdraw cash. And now the latest addition to Uber is UberZIP. According to a blog post by the taxi-hailing company, UberZIP offers a smaller, smarter and cheaper way for users to get around Colombo.
Just like UberGo, UberZIP also comprises of a range of vehicles. The difference is that whilst UberGo comprises of Tata Nano vehicles and UberX ranges anywhere from a Toyota Prius to a Honda Vezel, UberZIP’s lineup is made of compact Hatchbacks. The rates are lower than UberGo as well. In addition, UberZIP would still offer an AC ride as well.
In a normal world, this would be ideal for people who need to get to an important meeting or use Uber as their daily commute to work. After all, it’s cheaper and you can go to your destination in comfort without worrying about your clothes getting dirty or you being a sweaty mess. In reality, though, it’s a whole different ballgame.
Open up the Uber app anywhere between 8AM to 10AM (or even earlier) and 4PM-6PM or on a rainy day and you’ll see that all Uber rides are subjected to surge pricing. Now the concept of surge pricing is simple. There’s a heavy demand for Uber vehicles, so the company raises the per-kilometre rate. Vehicles are available, but the prices are ridiculously high. The ride that would usually cost you LKR 350 would now cost you LKR 1000.
Another questionable addition to Uber was upfront fees. This was where if you were paying by Credit or Debit card, the amount of the trip would be deducted before the ride began. This had its pros and cons. It made the payment less hassling at the end of the trip (if you were paying by card) but also meant that there would be additional costs incurred if for example, the driver or you took a longer route or were stuck in traffic or you changed your destination.
In addition, in case you didn’t know, Uber also began to charge for wait times for both UberGo and UberX at Rs. 4/min. Although, unlike PickMe, where you are charged for waiting the moment the vehicle is at a standstill (during a traffic block, for example), Uber charges waiting after the first five minutes of the driver arriving at your pickup location. So you essentially have 5 minutes to get to your Uber ride or you will be charged for waiting from the 6th minute onwards
In addition, Uber also charges passengers on Toll-free exits. You don’t necessarily need to pass a toll gate, even f you go on the freeway according to Uber, you would still be charged. So any time that the driver goes through a toll or travels into an area with surcharge, that amount would be added to your fare as well.
To find out, we chose to take the trip from Dematagoda station to our office in Rajagiriya as an example.
As you can see, Uber’s surge pricing is in effect with the ride costing LKR336.82 for an UberZIP and LKR577.95 for an UberGo. In a perfect world, you would be paying approximately LKR350 for an UberGo with surge pricing in place. However, as you can see, you’re paying that for a UberZIP. Just for comparison, if you were to take a Tuk or Nano from PickMe, you would still be able to get to the location for under LKR 330.
Looking at the images above, you can actually go ahead and book a Mini or even a Car from PickMe and it would still cost you LKR 344 and LKR 431, respectively. A difference of almost LKR140 and LKR364, respectively. The overall total would change slightly depending on traffic, but even then, not by much.
All in all, making a claim that they offer the most cost-effective AC rides in town leaves much to be desired, especially if they constantly have surge pricing. After all, if push comes to shove, I feel for one, feel that people would actually pay less and get to their destination by a tuk, than pay for what is supposedly cheaper, but in reality is more expensive. I may be wrong, but that is my opinion. So we ask you, UberZIP, is it really that cheap? You decide.
What are your thoughts on this? We would love to hear from you.
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Workshop Agenda - The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to
Workshop Agenda –
The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning and big data.
Module 1: Introduction to Machine Learning
This module introduces machine learning and discussed how algorithms and languages are used.
· What is machine learning?
· Introduction to machine learning algorithms
· Introduction to machine learning languages
Module 2: Introduction to Azure Machine Learning
Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.
· Azure machine learning overview
· Introduction to Azure machine learning studio
· Developing and hosting Azure machine learning applications
Module 3: Managing Datasets
At the end of this module, the student will be able to explore various types of data in Azure machine learning.
· Categorizing your data
· Importing data to Azure machine learning
· Exploring and transforming data into Azure machine learning
Module 4: Building Azure Machine Learning Models
This module describes how to use regression algorithms and neural networks with Azure machine learning.
· Azure machine learning workflows
· Using regression algorithms
· Using neural networks
Module 5: Using Azure Machine Learning Models
This module explores how to provide end users with Azure machine learning services, and how to share data generated from Azure machine learning models.
· Deploying and publishing models
· Consuming Experiments
Module 6: Using Cognitive Services
This module introduces the cognitive services APIs for text and image processing to create a recommendation application, and describes the use of neural networks with Azure machine learning.
· Cognitive services overview
· Processing language
· Processing images and video
· Recommending products
Register URL –
FB Event page-
(Tuesday) 12:00 am - 11:59 pm
Blue Chip Training0716092918
Discover new dimensions in connecting the Internet of Things with Narrowband IoT technology at the NB-IoT Forum and Hackathon, organized by Mobitel. Date - 23rd March 2018 at Trace Expert City
Discover new dimensions in connecting the Internet of Things with Narrowband IoT technology at the NB-IoT Forum and Hackathon, organized by Mobitel.
Date – 23rd March 2018 at Trace Expert City – Colombo 10.
Entrance – Free for a limited number of participants.
Register now – https://goo.gl/3cRdHJ
(Friday) 9:00 am - 5:00 pm
Trace Expert City
Maradana Rd, Colombo
Tech Coders V1.0 will be an online 12-hour problem solving competition. During this 12-hour period your problem solving skills will be put to the test through a series of questions. Competition
Tech Coders V1.0 will be an online 12-hour problem solving competition. During this 12-hour period your problem solving skills will be put to the test through a series of questions.
Competition will be conducted on HackerRank.
*Please note that you will be given access to the contest on HackerRank only if you fill this form on or before 11.59 pm on 22nd March (Thursday).
Organized by : Tech Seekers – Sri Lankan Community
24 (Saturday) 8:00 pm - 25 (Sunday) 8:00 am
One on one talk , Q&A and networking session with Manju Nishshanka,Founder and CEO,KRMG Capital. Mr.Nishshanka is a serial entrepreneur with extensive experience in financial markets and disruptive technologies.He has founded
One on one talk , Q&A and networking session with Manju Nishshanka,Founder and CEO,KRMG Capital.
Mr.Nishshanka is a serial entrepreneur with extensive experience in financial markets and disruptive technologies.He has founded and invested in several successful startups in fintech,blockchain ,AI,AR & VR and social media sectors.
He is a keynote speaker at the Digital Asset Investment Forum (DAIF 2018) and also serves on the board of NYU stern Blockchain and digital asset forum.
KRMG capital is an investment and advisory firm focused on early and growth staged startups and digital assets.
University of Sri Jayawardenepura,Sri Lanka partnered with KRMG capital to establish the first ever blockchain laboratory in Sri Lanka.
This will be an eyeopener to the vast potential and opportunities in Blockchain,Digital assets and Cryptonomics.
All are welcome to join the event and the networking session.
(Wednesday) 6:30 pm - 8:30 pm
Lakshman Kadirgamar Institute
Horton Place, Colombo 00700
Chandimal alahakoon 077 22 44 905
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