The Moving Company in Texas uses AI to stimulate safety and efficiency

• Based in Houston, 3 Men Movers is a private moving company.
• The small enterprise uses AI to reduce the distraction of the driver and to find the most effective routes.
• This article is part of “the way you change everything: small businesses”, a series that explores the way in which small businesses use AI for success.

More than 25 million Americans move each year. And the most precious objects are expected to reach a single piece – whether they travel hundreds or thousands of kilometers.

So, moving companies like Texas’ 3 men moved are getting back more and more to you to respond to these expectations.

Founded in 1985, long before artificial intelligence was ubiquitous, 3 Movers men adapted the digital era. The company started testing and implementing solutions fed at the end of 2010, his CEO, Jacky Fischer, said.

Today, 3 Movers uses technology to detect distracted drivers and to optimize route planning. It’s just One of the millions of small businesses In the US that is based on AI in their daily operations, illustrating how much technology has redefined business.

Creating a moving company fed by AI

Higher insurance costs and constant increasing accidents have caused Fischer’s team to implement AI. The company also wanted to improve efficiency and reduce costs, criticizes in the competitive motion industry.

“To thrive, we had to focus on safety and responsibility as early as possible,” Fischer said in an interview through E -Email.

To improve safety, the company installed rooms in the driver’s cabin. The live video is transferred to its server by a distracted driver detection system. The system is trained to recognize when a driver uses a smartphone, eats, drinks, makes some personal care, smoking or even cracked. If they detect distracted behavior, both the driver and the supervisor receive a notification.

In addition, 3 Movers uses advanced Open-Source Routing technology, which identifies the best routes between points.

“There is a great misconception that you were born in 2020 with the launch Chatgpt“Fischer said.” Although it was a major turning point in the adoption of AI, automatic learning and analysis of OSRM data have already been used in pioneering industries, such as finance, Telecommunicationsand logistics. “

Technology helps drivers from 3 men moved to avoid high traffic areas, high crime areas, high -accident places, restricted areas and even environmental dangers. It also allows the company to orient itself in the most optimal way, which will avoid liability and reduce the risks, said Fischer.

Balancing the benefits and risks of you

So far, the implementation has paid dividends for 3 moved men. Comparing AI detection reports with manual reports, the company has established that the distracted driver detection system has 91% precision and prevents 80% of distractions. In the first three months of use, the system reduced the company’s accident rate by 4.5%, according to Fischer.

Despite these results, the implementation has not been perfect. One of the biggest challenges, said Fischer, was the integration of the distracted driver detection system. Some of the initial products that the company has tried have returned too many positive fakes, such as the wrong interpretation of the driver’s moving models at different speeds.

“It was quite difficult to maintain the balance between staying competitive and avoiding more disadvantages than the benefits due to the adoption of bleeding technology,” Fischer said. “This is the reason why we always watch with our eyes on references and make microteste before adopting any technology, including you.”

Fischer added that testing is essential for any small enterprise that adopts you. She urges other small business owners to remember the risks AI. In order to validate technology, companies should always ask for technology providers for proof points, such as case studies, information on how their results compare to industry landmarks and who will be responsible for implementing and false positive or false. hallucinationsthat is, when the tools you have to offer misleading or inaccurate results.

Next to testing, Fischer said transparency is essential for Implementation Ai. Her company is transparent with her team about when, how and why the solution you interact with them and their data. The company also created a feedback loop, so that each team member can share their suggestions and complaints about each solution.

“You will increase and empower,” Fischer said, “but will not replace or lead people.”