Artificial intelligence and the Internet of Things drive the field of electric vehicles
The network has always been the nervous system of an enterprise, and business processes and transactions can only be effectively operated by the network. We are entering a new era of digital transformation, so infrastructure such as networks must also make corresponding transformations and innovations. After a new digital transformation, the gasoline retail industry can.
|Artificial intelligence and the Internet of Things drive the field of electric vehicles|
The network has always been the enterprise’s nervous system, and business processes and transactions can only be effectively operated by the network. We are entering a new era of digital transformation, so infrastructure such as the network must also make corresponding transformations and innovations.
After a new digital transformation, the gasoline retail industry can create the future gasoline retail station (gas station). Providing new and better customer experiences is the main driving force. The author believes that to achieve this goal, the value of Internet of Things ( IoT ) devices must be used and better utilized .
We have seen strategies and infrastructure “smart” layers that better meet service and application needs before driving the development of software-defined networking (SDN) networks. The author is a CTO of an international company that specializes in cloud-based CAFM. I now feel that it is time for the Internet to be integrated with the digital transformation. Based on my first-hand experience and contacts with gasoline retail operators, it can be said that I have personally seen the vision of the digital transformation and sharing industry.
The frontier evolution of an enterprise always requires a strong focus on the quality of customer experience. Digital transformation is a catalyst for change, catalyzing the development of automation and the Internet of Things. The new era of customer experience also requires retail operators to undergo automated transformation, including the use of artificial intelligence and IoT innovation. This is especially true in the gasoline retail vertical market, where the transformation of the automobile industry has turned away from gasoline and entered the field of electric vehicles.
In my opinion, the digital transformation of the gasoline retail industry is a recipe for business survival, because the concepts of convenience stores and gas stations are likely to change radically within the next decade. We can all think of those gas station convenience stores, dirty toilets, there is always no soap liquid, and the oil pump has not responded for a long time. We also hope that we can buy fresh, healthy food and uncooked coffee there.
At the forefront of customers, new smart IoT devices can drive improved customer interactions. For example, we do n’t need human staff now to refuel, we can use the self-service model, where the new machine technology is the main customer interface. Advances in artificial intelligence and machine learning new technologies have made these machine interfaces smarter, and smart interfaces can improve the customer experience.
Other industries such as global banking also hope to provide a new “customer experience” in their own retail stores. As with gasoline retail, the focus of these industries is also to try to use powerful artificial intelligence and the Internet of Things to automate manual processes, because manual processes may be an obstacle to the use of advanced technology.
At the forefront of interaction with customers, the new interface should be a sensor and a smart display , smart enough to be trained and optimized artificial intelligence, and can become a fine-tuned first-line experience orchestration. In the past, we had the concept of so-called “frontline employees” who contacted our customers and were directly related to the customer experience. Now we use artificial intelligence IoT human-machine interface to achieve automation.
When I traveled to Europe last year, I saw that the sensor at the gas station toilet can sense that the soap liquid is almost used up. At a higher level, fuel pumps and even POS system sensors at gas stations can use predictive artificial intelligence to detect that a fuel pump filter needs to be replaced. The result of not replacing it is a “slow” poor customer experience. In addition, many artificial intelligence IoT devices in convenience stores are used to control food quality and reduce food waste.
If gasoline providers need to rely on these new things to improve the customer experience intelligence assets, then the assets of things itself should meet availability, performance and network security (network purification), etc. K PI (key performance indicators) requirements. In addition, these IoT assets connected to the cloud also need to be monitored in terms of availability, performance, and security indicators. The goal is to create an automatic monitoring structure that does not require additional humans and allows the new model to operate.
Along with the challenges of digital transformation. I have recently been to a few different gasoline retailers. They all pay great attention to transforming “asset” into a customer experience (that is, the oil pump that is not so slow, the soap dispenser in the toilet works normally, the first-class coffee machine, the convenience store atmosphere can be comparable to Starbucks and can be used to negotiate business). Gasoline retail stations need to focus on digital transformation to help them manage and maintain these assets in order to maintain the best performance of these assets. The point is not to use new technology in order to use high technology. We should use artificial intelligence and the Internet of Things to keep these assets at their best performance.
Whether it’s repairing a coffee machine, washing a car, or maintaining an oil pump, machines based on artificial intelligence can be coordinated. These new smart assets can provide a new generation of gasoline retail customer experience, while at the same time eliminating human errors and keeping the data flow clean and accurate. An intelligent “digital workflow” driven by an API (application programming interface) can ensure compliance and reduce risk factors for future machine orchestration models.
To sum up, the gasoline retail and convenience store industries are pushing towards digital transformation in order to survive the changing world and the torrent of business model transformation. With the advent of IoT interfaces, sensors and smart displays, new automated customer interactions have emerged. Behind these is artificial intelligence, and artificial intelligence algorithms are driving the need for business automation. We can seize the opportunity to use intelligent machines to coordinate between people and control supply chain vendors, and use digital workflows to optimize future key revenue-generating assets. Technology in this area will provide us with a new and exciting user experience.