The Future of AI in Taxi Hailing Service

Taxi-hailing services in Nigeria have apparently come to stay. Since the advent of ride-hailing technology, all evidence points to the fact the technology will keep advancing. Over the years, we have seen some development on how technology operates from different platforms.

Artificial intelligence has a role to play in the advancement of this technology. It has since gone from just a platform to get rides. Now, with the use of AI, ride hailing technology is becoming a universal means of transportation. The industry is now a booming field for a lot of platforms one of which is GoComTaxi.

With AI better services are now being rendered. Interesting features are being introduced to the platforms that is making it render better services and be more productive to the riders, drivers and innovators behind the platform.

Machine learning and neural networks are now core to just about every business process. Ride hailing technology uses AI for fraud detection, risk assessment, safety processes, marketing spend and allocation, matching drivers and riders, route optimization, driver onboarding, and just about everywhere else it’s possible to apply.

Ai is applicable in a lot more facets that are yet to be explored. But it has probably had its biggest success in the customer care support systems. With hundreds of millions of customers, taxi hailing services does a lot of customer service. Customer service incidents get handled best when they get routed to the most relevant customer service agents — which AI does. AI also helps agents with potential responses to customer inquiries leading plus concurrent jumps in customer satisfaction.

Some of the present features that AI has benefited the ide hailing technology is the bridging the gap between the app and its customers. Not just riders, also the drivers. Because when the internal customers are happy and satisfied, the external customers will also be happy and satisfied; and the company will be happy with their bottom line.

Knowing customers’ needs, their habits, and their preferences is a very important to solving their problems. It’s also critical to understanding segments of customers who are under-served, perhaps because they’re unaware of specific services, or other challenges.

Clustering customers and creating segments to understand niche needs is what makes AI indispensable.

Just like the GoComTaxi will continue to explore opportunities to provide better services using machine learning.

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