AI and IoT drive electric vehicles

The network has always been the nervous system of an enterprise, and business processes and transactions rely on it to function effectively. We are entering a new era of digital transformation, so infrastructure such as the network must also transform and innovate accordingly.

Petrol retailing can create the petrol retail station (gas station) of the future after a new digital transformation. Delivering new and better customer experiences is the main driver. The author believes that achieving this goal requires the use and better utilization of the value of Internet of Things (IOT) devices.

We’ve seen before that policies and infrastructure “smart” layers that better meet service and application needs drive the evolution of software-defined networking (SDN) networks. The author is the CTO of an international company specializing in cloud-based CAFM. I now feel that it’s time again for the web to reconnect with digital transformation. Based on my first-hand experience and contacts with gasoline retail operators, I can say that I saw firsthand the vision of digitally transforming the sharing industry.

The cutting-edge evolution of a business always requires a strong focus on the quality of the customer experience. Digital transformation is the catalyst for change, catalyzing the development of automation and the Internet of Things. The new era of customer experience also requires retail operators to automate transformations, including the adoption of artificial intelligence and IoT innovations. This is especially true in the gasoline retail vertical market, where the transformation of the automotive industry has moved away from gasoline and into the field of electric vehicles.

In my opinion, the digital transformation of the gasoline retail industry is a recipe for survival, as concepts such as convenience stores and gas stations are very likely to fundamentally change over the next decade. We can all remember those gas station convenience stores, dirty toilets, always no soap, no oil pump response for half a day, and we wish we could buy fresh, healthy food and uncooked coffee there.

On the customer frontier, new smart IoT devices can drive improvements in customer interactions. For example, we can now refuel without human employees, and we can use a self-service model where new machine technology is the primary customer interface. Advances in new technologies in artificial intelligence and machine learning are making these machine interfaces smarter, and smarter interfaces can improve the customer experience.

Other industries, such as global banks, are also looking to offer new “customer experiences” in their retail stores. Like gasoline retailing, these industries are also focused on trying to use the power of artificial intelligence and the Internet of Things to automate manual processes that can be a barrier to adopting advanced technology.

At the forefront of interaction with customers, the new interface should be sensors and smart displays, smart enough to resemble a trained and optimized artificial intelligence, and can be a fine-tuned orchestration of front-line experiences. In the past, we had the concept of what’s called a “frontline worker” who was reaching out to our customers and directly related to the customer experience. Now we automate with AI IoT HMI.

When I traveled to Europe last year, I saw sensors in gas station toilets that could sense that the liquid soap was running out. At a higher level, gas station pumps or even POS system sensors can use predictive AI to detect that a certain oil pump filter needs to be replaced, and the result is a “slow” poor customer experience. In addition, artificial intelligence IoT devices in many convenience stores are used to control food quality and reduce food waste.

If gasoline providers are to rely on these new IoT smart assets to improve the customer experience, the IoT assets themselves should meet KPIs (Key Performance Indicators) requirements for availability, performance, and cybersecurity (net cleanup). Additionally, these cloud-connected IoT assets also need to be monitored for availability, performance, and security metrics. The goal is to create an automated monitoring structure that does not require additional humans to make new models work.

With digital transformation comes challenges. I’ve been through a few different gasoline retailers lately. They are all very focused on turning “assets” into customer experiences (that is, not-so-sluggish oil pumps, toilet soap dispensers working, top-notch coffee machines, convenience store vibes comparable to Starbucks, and business negotiation). Petrol retail stations need to focus their digital transformation on helping them manage and maintain these assets so they can maintain peak performance. The point is not to use new technology for the sake of high technology. We should leverage AI and IoT to keep these assets performing at their best.

Whether it’s repairing a coffee machine, washing a car or maintaining an oil pump, AI-based machines can coordinate. These new smart assets can deliver a next-generation gasoline retail customer experience while eliminating human error and keeping the data stream clean and accurate. Smart “digital workflows” driven by APIs (application programming interfaces) can ensure compliance and reduce risk factors for future machine orchestration models.

In conclusion, the gasoline retail and convenience store industries are driving a digital transformation in order to survive in a changing world and a torrent of business model transformations. New automated customer interactions are emerging thanks to the arrival of IoT interfaces, sensors, and smart displays. Behind these is artificial intelligence, and artificial intelligence algorithms drive the need for business automation. We can seize the moment to leverage intelligent machines to coordinate between humans and control supply chain providers, leveraging digital workflows to optimize key revenue-generating assets of the future. Technology in this area will provide us with new and exciting user experiences.

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