Uber operates big time. Statistics show the ridesharing app does a whopping 40 million trips daily, care of the 10 million drivers and couriers across around 15,000 cities in over 70 countries.
But then, issues still persist. For instance, some drivers complain of not earning sufficiently, and not getting bookings in the quickest time possible.
Now, Uber is wishing to bridge that gap, using the business models of OpenAI, the maker of ChatGPT.
“For the first time, technology is leading what can be solved. Issues that once felt out of reach are now possible to address,” Uber’s deputy of engineering and science, Aarathi Vidyasagar, stated.
This collaboration between OpenAI and Uber will help Uber build AI-run items that simplify earning opportunities for drivers, thereby reduce the friction for riders. Using OpenAI’s models will encourage Uber to streamline its products and experiences faster than ever.
To help address those issues by Uber drivers, Uber developed Uber Assistant, an AI-run assistant designed to help drivers across their lifecycle on the platform – from onboarding and first trips, to daily earnings optimization.
Uber Assistant will also help drivers where and when to earn by transforming complex data like earnings trends and heatmaps into simpler, much more actionable positioning insights. Drivers may also ask follow-up questions in plain, conversational language, then receive tailored responses.
“We want to enable drivers to make better decisions for themselves by providing a summarized view of the marketplace and real-time insights,” stated Dharmin Parikh, Director of Product Management at Uber.
There are various features at play in here:
- Build trust at scale with a multi-agent AI system: Uber Assistant works around three core principles: safety, trust, and low latency. This mult-agent architecture routes each user request to the most proper specialized system. For instance, questions on earnings are handled distinctly than onboarding questions. Then, AI Guard to screen prompts.
- Broadening accessibility with voice: The ridesharing app is also applying OpenAI Realtime APIs to one of the next major interface shifts in technology: voice.
- Faster iteration, stronger teams, and better products: Instead of a small centralized AI team owning innovation, intelligence can now be embedded across the company. This accelerates experimentation and creates new ideas throughout Uber’s ecosystem.
- Scaling intelligence across the marketplace: Uber Assistant is available all over USA’s drive network. That means hundreds of thousands of drivers in this North American country will get access to Uber Assistant beta experiences, helping drivers position themselves better for more trips.
“As an engineer, OpenAI just unlocks the ability to solve those problems in different and unique ways,” Vidyasagar went further.
ChatGPT maker OpenAI is an artificial intelligence research and deployment organization focused on developing advanced AI technologies safely and responsibly. Founded in 2015, it creates tools like ChatGPT and AI models for language, coding, and image generation. OpenAI aims to ensure artificial general intelligence benefits humanity broadly through research, partnerships, and public-facing applications. For more ridesharing reports, keep it locked right here on Ridesharing Forum.