Great Uber charging bets on artificial intelligence tools to develop its business

Three years ago, where the epidemic caused chaos for large and small companies, the chief supply chain employee in Colgeit-Balmolif Luciano Sber organized “Blitz Logistics”.

The result gave Sieber a better understanding of how Colgate-Palmolive moved its products all over the world. But Sber is stuck with another problem: a lot of data.

About a year ago, Cyber ​​says he had found a solution to this problem with the cargo cargo. Long -ranging logistics and analyzes of riding in the riding riding in the ride, developing new ways to collect large quantities of data using artificial intelligence. Colgate-Palmolive has become one of the first companies to use one of its latest products, LLM Ober charging calls that focus on AA logistics.

Now, Uber Freight officially launches a set of features of artificial intelligence to trucks all over the world as part of the current supply chain program. This includes an expansion of AI ideas, which Uber charging It was quietly launched in 2023In addition to more than 30 Amnesty International designer agents “to carry out the main logistical tasks during the shipping life cycle”.

Uber is not alone in an attempt to tame the unbridled supply chains with modern artificial intelligence tools. Flexport has announced its own A group of artificial intelligence tools in FebruaryAnd there are countless startups that are trying to help companies Collection dataand Reducing inventory stocksAnd It is better to predict supply and demand.

But Uber Freight bets that its AI’s solutions can have an immediate effect on the end result of each of its blue clients in the blue chip and nearly 10,000 other trucks they work with. This is largely due to the base of knowledge and relationships that I created in the eight years since it was created To match the long truck drivers with the two trucks.

“The supply chain is inherently a problem with data. It is complicated, it is accurate, and Amnesty International can serve a key role in its formation and speeding up,” said Lior Ron, the founder of Uber shipment, in an interview with Techcrunch.

“This moment has been built.”

Uber Freight began as a more clear mediation business model when it was launched in 2017. But the subsidiary Uber has evolved steadily over the years to more than one service provider for companies that ship goods all over the world.

Many modern companies try to find ways to integrate artificial intelligence (often Mixed results); It should not be a surprise that Uber charging puts technology in the foreground and the center. After all, the work of both Ron University and his main thesis on artificial intelligence – on the way back “in dark ages when he was called” nerve networks “, said jokingly.

Ron continued to work with automated learning technology when he was running Google Maps from 2007 to 2016. He said he saw “the possibility of numbering of the material universe.”

He said: “This type of founding belief has led me, nine years ago, that the supply chain is primarily a first challenge to data, and the first technology that can be accelerated with data connection, and over time, Amnesty International.” “We were building at this moment, I think, since I started charging Uber.”

Ron said that Uber shipment used machine learning in his work from the beginning. But about two years ago, the team began trying to work with the most advanced artificial intelligence capabilities.

“This was not an easy way,” Ron said. Freight’s initial attempts to build a type of “joint pilot for logistics services” were full of hallucinations and only accurate answers about 60 % to 70 % of time.

Now that the technology has been tested “Battle” and “leading real business results”, at a rate of 98 % accuracy, according to Ron. The company says that the AI ​​ideas model has been trained in internal and external data related to shipping shipping of $ 20 billion, which helps in moving every year. It also takes advantage of the unintended multiple artificial intelligence models “providing ideal groups of price, accuracy and performance”, according to Uber charging.

Ron said this Amnesty International batch creates new ways to customers to work with data related to their supply chain. They can ask the AI ​​to pull quickly, for example, the worst points of origin for certain charges. Or they can ask to show “all shipments to CVS in 2023.” Ron stressed that the information can be more complicated than this as well, and the model always continues.

Insights AI is offered to customers like other famous LLM facades; His work will also appear and explain where all data comes, just like other thinking models.

All this allows the customer to “gain visions on your network much faster, accurately 100 % immediately, in exchange for formulating what you want to know, sending it to some analysts, and waiting for two weeks until PowerPoint’s offer returns to a discussion,” Ron said.

What do you want to know?‘

Uber Freight is working with many Fortune 500 companies, but it has found a particularly prepared partner in Colgate-Palmolive for experimental statements AI and its other new tools. The bloc is already a set of artificial intelligence models for all its employees, according to Cice. It also makes these workers receive mandatory training on the ethics of artificial intelligence developed at home.

“I think it’s great, because it transforms the conversation from fear to,” how it makes me more efficient, and how (I do) has become a better professional and I offer more by reaching these new technologies, “said Seber.

For example, Sber said his company used AI visions to easily identify transport companies that accept lower shipments than they were obligated to move. From there, they can know the reason that these levels are low, or they reach a solution to restore the conveyor in compliance or drop it in favor of another.

This was a previous challenge in the actual time, because companies like Colgate-Palmolive are working with thousands of transport companies. Each of these may work with different systems and work, and all this resulting information has not truly managed.

Sber Waron said that the next step with artificial intelligence was to find ways to create more active solutions. Ron said that this is another place that Uber ships to discourage data strengths. “We know the facilities, we know the corridors, and we know the prices,” he said. “What do you want to know?”

This most active integration comes in the form of alerts that tell a customer such as Colgate-Palmolive as paying on certain methods, or that there are faster options available for a specific charge.

Any such suggestion may only save a few hundred, or perhaps a few thousand dollars. But it was assembled on an entire network, as it has spoken a big difference.

For this reason, when he was asked, Seper was quickly answering that the Colgate-Bulliv’s financial manager is the happiest executive authority with the enabled Uber Fashion. Sber laughed, saying, “He loves to see the costs of logistics services decrease.”