Artificial intelligence case studies demonstrate the many ways companies are using AI to increase sales, productivity, speed, efficiency, segmentation, targeting, compliance, conversions, create new products and, of course, generate significant business growth.
Artificial intelligence is the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
These artificial intelligence case studies show AI’s breadth, innovation and business return.
Here are 9 artificial intelligence case studies that show companies the money.
- ALIBABA GROUP: Is a Chinese multinational conglomerate specializing in e-commerce, retail, Internet, AI and technology. Among companies is our artificial intelligence case studies, Alibaba uses AI to help map the most efficient delivery routes. Works quite well! And Alibaba claims that smart logistics have resulted in a 10% reduction in vehicle use and a 30% reduction in travel distances.
- AMAZON: Alexa is one of Amazon’s most popular and most famous AI product. It helps drive the algorithms that are essential to Amazon’s targeted marketing strategy. AI allows Amazon to predict what products will be the most demanded to provide customized recommendations based on customer searches. And according to rejoiner, Amazon’s recommendation engine drives 35 percent of total sales.
- COCA-COLA: Coca-Cola Amatil is the largest bottler and distributor of non-alcoholic, bottled beverages in the Asia Pacific. Coca-Cola Amatil was relying on limited and manual measurements of products in store, as well as delayed data sourced from phone conversations. Coca-Cola Amatil sales reps used Trax Retail Execution image-based technology to take pictures of stores shelves with their mobile devices; these images were sent to the Trax Cloud and analyzed, returning actionable reports within minutes to sales reps and providing more detailed online assessments to management. Coca-Cola Amatil gained 1.3% market share in the Asia Pacific region within five months.
- COGNIZANT: Is a multinational corporation that provides IT services. Cognizant Digital Business has developed an AI-driven machine learning solution for the compliance function at a leading healthcare services provider that parses doctors’ notes entered into the organization’s electronic medical records (EMR) to identify potential drug-seeking behavior. Opioid dependency is devastating for patients and their families. In our artificial intelligence case studies, Cognizant’s system uses text analytics and an advanced machine-learning algorithm to mine physicians’ notes and electronic medical records. alerts doctors during patients’ visits when a pattern of at-risk behavior is identified. So far, 85,000 at risk patients have been identified through this system with savings to organizations of $60 million.
- GLOBAL TECH LED: Is a LED lighting design and supplier to U.S. and international markets, specializing in LED retrofit kits and fixtures for commercial spaces. The company used Google Analytics’ Smart Lists in our artificial intelligence case studies to automatically identify Global Tech LED prospects who were “most likely to engage” and to remarket to those users with more targeted product pages. They used Google’s Conversion Optimizer to automatically adjust potential customer bids for increased conversions. Remarketing campaigns triggered by Smart Lists drove 5 times more clicks than all other display campaigns. Traffic to the company’s website grew by more than 100%, and was able to re-engage users in markets in which it was trying to make a dent, including South Asia, Latin America, and Western Europe.
- JD.COM: Beijing-based JD.com partnered up with Siasun Robot & Automation Co Ltd. to use automation technology, such as robots, to improve warehouse operations. The key idea was to improve the speed and efficiency of product sorting and delivery in warehouses, cutting down the costs and increasing revenue. According to Techemergence, after implementing this new initiative, a number of online orders reached 1.26 billion in 2015 (double the amount of orders in 2014) and approximately 85% of those orders were delivered within two days. Unfortunately, JD.com aims to use Artificial intelligence to reduce the number of employees from approximately 120,000 to 80,000 over a decade to increase efficiency, by reducing manual work and therefore increasing profit margin.
- PETER GLENN: has provided outdoor apparel and gear to individual and wholesale customers for over 50 years, with brick-and-mortar locations along the east coast, Alaska, and South Beach. Peter Glenn used AgilOne Analytics for advanced segmentation abilities included data on customer household, their value segment, and proximity to any brick-and-mortar locations. Peter Glenn saw a 30% increase in Average Order Value (AOV) as a result of its automated marketing campaigns.
- RAKUTEN: Japan’s largest e-commerce site, Rakuten, continues to invest in AI to better predict customer behaviors as it is critical to the e-commerce success. Right now, with their Rakuten Institute of Technology, they are able to analyze their 200 million products to forecast sales with a high degree of accuracy. Now they are also capable of segmenting buyers more accurately using real-time data.
- UNDER ARMOUR: An American manufacturer of sports footwear and apparel, built a UA Record™ app was built using the IBM Watson Cognitive Computing platform. The “Cognitive Coaching System” was designed to serve as a personal health assistant by providing users with real-time, data-based coaching based on sensor and manually input data for sleep, fitness, activity and nutrition. The app has a rating of 4.5 stars and grew revenue for Connected Fitness accessories by 51% to $80 million.
Do these artificial intelligence show you the money? Are you ready to see how AI can be used at your company?
