As we all know that Ola Uses AI and Machine Learning are the fields which are in huge demand.
recently due to its capabilities to transform multiple industries like Education, Medicine, Energy and many more. That is the reason that more and more companies are moving towards AI and ML.
to solve complex business problems and in simple language to make machines do complex tasks that a normal person can’t.
One of the few companies who have adopted Machine Learning is OLA. If you don’t know about OLA – one of the largest ride-hailing Indian companies in the world.
founded in 2010 with a mission to build mobility for millions of people in India and around the globe. So how did this Cab company adopt AI, became a mega-giant in the Cab Industry.
also did better than its competitors like UBER, Meru Cab, Careem, etc.?
Well, let’s find it out.
Well, the rise of Ola started when it acquired a Bangalore -based Artificial Intelligence startup called “Pickup.ai” for an undisclosed amount somewhere around 2019.
Pickup.ai basically works with some AI-powered technologies like Computer Vision, AI and sensor fusions to provide flawless AI-powered business solutions.
Sensor fusions is basically an ability to multiple radars, inputs and camera’s to form a single image of the surrounding environment around any particular vehicle.
OLA | History
OLA basically has millions and billions of bytes of data consisting of their drivers, customers and also has information about every single trip that takes place on its platform.
So they basically have insights of time & day of booking, pick-up & drop-up locations, and much more. However, containing so much data with them OLA’s business- deeply rooted in Data Science. Data Science helps Ola to understand the kind of aura a Traveler prefers in the Cab.
eg:- Infotainment preference, playlist preference etc. this kind of stats really help Engineers to understand trends.
OLA has collected data from approximately “Nine Lakh” cabs on the road which helps them to create an accurate real-time scenario of traffic around the roads.
the information of the routes around the road and they use this data to create unique ETA(Estimated Time Arrival) models. It suggest less congested routes to magnify the commuting experience, which is quite a useful feature to add.
OLA & Microsoft
In 2017 Microsoft invested around $200Million in Ola to build a new connected vehicle platform that basically transformed the experience of passengers with improved car productivity, good navigation features and more.
Cloud-based Infotainment with the help of AI – additional feature to added. This cloud-based Infotainment done using the Microsoft Azure platform. Ultimately, used to power Ola Play and connect it with the company’s existing car platform.
With this newly added technology by Microsoft, Ola Play will enhance passenger experience.
with the help of IoT(Internet of Things) which will, in turn, enhance the passenger experience. This feature will transform an Ola Cab into a high performing efficient vehicle.
Some other Machine Learning based features like voice-assisted controls, Office 365, Skype – helping customers in making most of their journey.
Transforming to Data Science and ML not only made OLA better than its competitors. but also created thousands of AI-related jobs across India.
In recent years OLA launched its one of the most successful AI-powered real-time ride monitoring features -the “Guardian”. This Guardian feature available in more than 17 cities of India – successful at Perth city in Australia.
The Guardian basically uses the collected real-time data from rides to spontaneously detect irregular activities by drivers, it also includes prolonged stopping and unexpected route deviations by drivers.
In the end, these activities sent to Ola’s 24/7 Safety Team. The safety team then takes a look at this problem, does an analysis of the situation and does a custom check on the passengers to see if they are safe.
There is also a feature where customers can also alert police authorities and their closed one as there is an emergency button in the Ola cab.
Only uses AI and ML can Ola quickly find out solutions to these problems.
Ola’s Guardian is purely built on Artificial Intelligence and Machine Learning which helps it to learn from continuously coming data and to find instant solutions.
Conclusion
OLA also has also put a real-time face detection system in place for its drivers to avoid impersonation and it makes it compulsory for the driver to upload a selfie and authenticate with the system multiple times between the rides.
This recently released feature is live across India and is also being piloted in the International market.
this is also one of the applications where OLA Uses AI and Deep Learning techniques.
Article By: sanidhya Rajesh Barraptay
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