In the last few years, artificial intelligence has become an omnipresent technology. Many businesses, including world leading companies, apply AI for various purposes: business intelligence, performance analytics, enhancing user experience, optimization, and more.
In this article, we will look at 9 companies that use artificial intelligence. Hopefully, they can inspire you and give some suggestions about how you can use AI creatively in your business.
9 companies that use AI in their business
Over 60% of business owners say AI will increase productivity. Here are some examples of how AI helps to optimize performance and boost productivity in the workplace:
1. UPS: optimizing deliveries and preventing theft
UPS is using AI in its logistics operations to enhance efficiency and security. Their AI-based system, DeliveryDefense, assigns a delivery confidence score to packages based on historical data like delivery attempts and location-specific risks. This helps identify areas prone to package theft, allowing the company to reroute deliveries to safer locations.
In addition to theft prevention, UPS utilizes AI for route optimization. By analyzing traffic, weather, and delivery schedules, the system suggests the most efficient routes, saving fuel and time. This AI-driven approach has a significant environmental impact by reducing UPS’s carbon footprint while also cutting operational costs.
2. Google: enhancing user experience with AI
Google is using AI to improve the search engineer experience for its users. It has developed a feature called AI overviews. This tool does not only find relevant web pages but also summarize them and highlight the most relevant search results. This is particularly helpful when topics that users are studying are complex and saves them a lot of time on research.
Google has also recently come up with a new search feature called Circle to Search. You can take a photo, draw a circle, and search engines will help you find whatever you’re looking for.
Beyond consumer products, Google is also leveraging AI in healthcare. Through its subsidiary, DeepMind, the company is using AI to analyze medical images and detect diseases like diabetic retinopathy and breast cancer earlier and more accurately than human doctors. This application of AI not only improves diagnostic accuracy but also has the potential to save lives by enabling earlier interventions.
3. Walmart: inventory management and customer service
Walmart has embraced AI to improve inventory management and enhance customer service. Using machine learning algorithms, Walmart tracks real-time data from in-store and online purchases to predict demand and ensure the right products are available when needed. This predictive capability helps Walmart reduce stockouts and excess inventory, leading to lower costs and better customer experiences. The company also uses robots in its stores to check inventory levels and ensure shelves are stocked correctly, freeing up employees to focus on customer-facing tasks.
If you’re interested to learn more about how Walmart uses AI in their company, you can watch a replay of the 2024 Walmart Global Tech Conference. You can also access materials from previous years for free on their website.
4. Tesla: autonomous driving and manufacturing
The company’s Autopilot system uses neural networks to process vast amounts of data collected from Tesla vehicles worldwide. This data is used to train algorithms that allow Tesla cars to make real-time driving decisions, such as lane changes, braking, and acceleration. Although the system is still in development and requires human oversight, Tesla’s AI approach is continually evolving.
This tool helps the company to improve safety: in Q1 2024 Tesla has reported a 47% year-over-year improvement and a new record. Only one crash is registered to 7.63 million miles driven. Without Autopilot, their results are much worse.
AI also plays a crucial role in Tesla’s manufacturing process. Robotics and AI-driven systems help streamline assembly lines, ensuring that cars are built more efficiently and with fewer errors. By combining AI with automation, Tesla has optimized its production process, reducing costs and increasing output.
5. Amazon: improving e-commerce and logistics
The company’s recommendation engine is powered by AI algorithms that analyze user behavior to suggest products based on browsing and purchasing history. This has led to increased customer engagement and higher sales, as personalized recommendations are more likely to result in purchases. 35% of Amazon.com’s revenue is generated by its recommendation engine.
Moreover, Amazon uses AI in its logistics network to optimize delivery routes and manage its massive warehouse operations. The company’s robotic systems, combined with machine learning algorithms, ensure that items are efficiently stored and retrieved. This automation allows Amazon to fulfill orders faster and more accurately, maintaining its position as a leader in global e-commerce. Amazon has managed to speed up its supply chain by 75% with the help of AI.
6. Netflix: content recommendation and production
Netflix uses AI to power its recommendation system, which personalizes content for users based on viewing habits, ratings, and other preferences. The AI algorithms analyze massive amounts of data from users’ interactions on the platform, such as time spent on certain genres or how often content is paused. This personalized recommendation engine is crucial to keeping users engaged, increasing watch time, and reducing churn.
Netflix churn rate is only 2.3%, which is extremely low, compared to competitors.
The value from customer retention that Netflix gets every year amounts to $1 billion.
7. Alibaba: smart urban management
Alibaba is one of the largest marketplaces in the world but they use AI not only to boost their revenue. The company has developed software called City Brain. This system can be used to collect information in traffic management, predicting accidents, and improving energy efficiency.
The software is also integrated with Hangzhou’s Xiaoshan International Airport. They use City Brain to schedule flights, onboard and offboard aircrafts, and aircraft maintenance. Besides these, services such as luggage delivery and in-flight meals will also be covered by City Brain.
The system has been adopted by many cities in China and also in Kuala Lumpur, the capital of Malaysia.
8. Coca-Cola: AI in marketing and product development
Coca-Cola leverages AI to enhance both its marketing strategies and product development. For example, the company uses AI-driven data analytics to monitor social media and gather customer feedback on products in real-time. This information allows Coca-Cola to quickly adapt its marketing campaigns based on current trends and consumer sentiment. AI helps predict what marketing strategies will resonate most with particular demographics, allowing the company to target its advertising more effectively.
In terms of product development, Coca-Cola has experimented with AI to create new flavors by analyzing historical data on flavor preferences. This approach helps Coca-Cola stay innovative and meet consumer demands more efficiently. By analyzing customer preferences and market trends with AI, Coca-Cola can better forecast which products are likely to succeed(
9. Spotify: personalizing music with AI
Spotify relies heavily on AI to personalize music recommendations for its users. The company’s famous “Discover Weekly” and “Release Radar” playlists are created using AI algorithms that analyze listening habits, song attributes, and user demographics. Users can also create personalized playlists with the help of AI based on their mood or other preferences. Spotify’s machine learning models sift through millions of songs to recommend new music that aligns with each user’s taste, enhancing the user experience by making music discovery effortless.
Conclusion
AI is transforming industries from entertainment to retail and healthcare, and more and more businesses are leveraging the technology to optimize their operations and enhance customer experiences.
If you want to learn more about AI’s capabilities in business, keep reading our blog:
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