AI is a powerful tool that can help businesses achieve their business goals and grow. To make sure you’re using it in a strategic way, it’s important to define your AI priorities in detail.
Use this article and AI Use Case Template to flesh out your AI priorities and help you create a comprehensive and thoughtful AI strategy.
Using AI, robots and other next-generation technologies, the Lights-Out Factory is a process that produces products without human intervention. This type of manufacturing is still rare, but it has the potential to revolutionize how businesses run.
It can help reduce labor costs because there are no employees who need to be paid an hourly wage or trained in specific skills. It can also save money on insurance premiums and other health care costs.
However, as with all automation, there will be problems that arise. For example, if a machine breaks down during production and no one is notified, that can lead to significant delays in the product being produced.
To prevent these issues, a company must have a condition monitoring system in place that can detect when an automated asset needs maintenance. This can help avoid extensive wear and tear on the equipment and save time and money while improving safety for workers.
Traffic Flow Optimization
Traffic flow optimization uses AI to predict traffic and route vehicles around congested areas to reduce congestion. It also helps optimize delivery routes, minimize construction costs and improve air quality.
Using AI to predict traffic, it also prevents accidents and increases safety during periods of construction or other events. This makes the transportation system safer for citizens and drivers alike, and it is a use case for AI that could save the economy money in the long run.
Graphs depicting vehicle trajectories, called time-space diagrams, are useful tools for analyzing the flow of vehicles along a pathway over time. Typically, time is displayed on the horizontal axis, and distance is shown on the vertical axis.
Automakers and Fleet Operators
Automotive companies are adopting AI to optimize their supply chain and rebalance it in a changing environment. AI-driven quality control can detect production anomalies in advance, reducing excess inventory by up to 50 percent.
Automakers also employ AI to determine upselling and cross-selling opportunities. This allows dealerships to generate more revenue by boosting customer retention and attracting new customers.
AI-powered systems can also help car manufacturers create workflows more efficiently. They also enable timely identification of defective car parts produced both in-house and by external suppliers.
Fleet operators can benefit from a sophisticated fleet management solution that includes real-time tracking and visibility into vehicle movement, ensuring safety and fuel efficiency. This data can be analyzed to provide insights for route optimization, reduce associated risk, and conduct timely repairs.
Keeping inspection compliance up to date is essential for preventing fines and grounded vehicles. This requires a good understanding of regulatory requirements and company and driver policies.
Customer service is a critical component of any business, and it is an area that is growing in demand for AI. It is a use case that can be implemented quickly and is low-hanging fruit for most businesses.
One of the first uses cases for AI in customer service is through chatbots, which are used to interpret messages from customers and provide answers. This saves customers the time and effort of calling a support team.
Another popular AI tool in customer service is sentiment analysis. This tool is trained to read and analyze customer emails, and then tag them accordingly.
The tool then distributes these messages to the reps who are best suited to respond. This helps the support team reduce their response time and improve customer satisfaction.