Zoba – AI for Sharing Services by Alexander Gornyi

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The post was originally published in Russian on Startup of the Day. Alexander kindly agreed to republish what we think is of great value to our readers.

Car and scooter sharing is not just hype, it is an objectively convenient and economically efficient means of transportation in a city. The world will have more services like this, the old ones will grow in popularity, the progress cannot be stopped.

So if there will be many sharing services – it makes sense to create a useful SaaS for these sharing services, nobody gets surprised at specialized tools for supermarket chains or restaurants. Zoba, an American startup of the day is Zoba. Its goal is to handle the intelligence part of the sharing service’s software, its artificial intelligence.”.

It concrete tasks are the correct placement of vehicles in the streets and dynamic price formation. The client company hands Zoba the online information about where certain scooters are located, and smart algorithms calculate which scooters need recharging and to which street they should return afterward. And before they return, it’s better to charge 20 cents per minute instead of 10, there aren’t enough vehicles anyway, and they will be in demand at any price.

Creating their own ML models is too complicated and expensive for most potential clients. On the other hand, ignoring their opportunities is just stupid, and adding 10% of revenue from every scooter through the implementation of software is just priceless. That’s why Zoba should be in demand. In practice, it boasts about reaching the number of 165 million rides of partner companies throughout the startup’s history. To compare, it is three times more than Delimobil does in a year.

In the recent round Zoba brought in USD 12M, it is the first big round in the startup’s history.

https://www.zoba.com/

#transport #usa #rounda #ai

Translation: Kostiantyn Tupikov

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