The world is changing, and so is the way we interact with technology. Since the launch of GPT-3, conversational AI is becoming increasingly popular, and it is not hard to see why. With the rise of chatbots, virtual assistants, and smart speakers, the way we communicate with the internet is becoming more and more conversational.
As a result, there is a growing need for SaaS business applications to follow this trend. In this blog post, we will explore the concept of conversational fleet management and how it is shaping the future of fleet management.
What is Conversational AI?
Conversational AI is a subset of artificial intelligence that enables computers to understand and respond to human language. It can be used to power chatbots, virtual assistants, and smart speakers. These technologies are becoming increasingly popular, with big players such as OpenAI’s GPT-3 leading the way.
GPT-3, which stands for “Generative Pre-trained Transformer 3,” is the latest natural language processing model developed by OpenAI. It is considered one of the most advanced AI models to date, with 175 billion parameters that enable it to generate human-like responses.
The technology has the potential to revolutionise the way we communicate with computers and unlock a new set of possibilities: other businesses can leverage the APIs to build new products or improve existing ones.
For example, businesses can use GPT-3 to power chatbots or virtual assistants that can answer customer inquiries, provide support, or even complete simple tasks. This can help businesses save time and resources, while providing a better experience for their internal and external users and customers.
In addition to customer-facing applications, conversational AI can also be used internally to improve business operations. For example, businesses can use chatbots or virtual assistants to automate repetitive tasks, such as scheduling meetings or answering employee inquiries.
This can help businesses become more efficient and free up time for their employees to focus on higher-value work.
What is Conversational Fleet Management?
Conversational fleet management is the use of conversational AI technology to manage fleets. It involves the use of chatbots or virtual assistants that can communicate with employees and managers in a natural, conversational way.
These digital assistants can help employees with fleet-related questions, such as ordering a vehicle, questions about the car policy or the fiscal costs of their vehicle. They can also help managers with questions about the operations and insights on their current fleet.
The knowledge base used to train conversational AI in fleet management includes a variety of sources to provide a comprehensive understanding of business operations. The base includes car policies, mobility policies, digital workflow documentation, general information about fiscal regulations, providers, and more.
These sources are carefully curated to ensure that the conversational AI can accurately answer questions and provide insights to employees and managers. The conversational AI can be trained to recognise and interpret information from different sources, and combine it to provide a coherent response.
This enables the AI to provide a more personalised and tailored experience for fleet managers and employees, as it can provide specific information based on their needs and the context of their inquiry. By leveraging a variety of sources, conversational AI can provide detailed and accurate insights into business operations, helping managers make better decisions and improving the overall efficiency of the fleet.
The Benefits of Conversational Fleet Management
Conversational fleet management offers several benefits over traditional management methods. One of the main benefits is increased efficiency. With a digital assistant available 24/7, employees and managers can get the information they need quickly and easily, without the need for human intervention. This can save time and reduce the risk of errors.
Another benefit of conversational fleet management is increased accuracy. Digital assistants leverage the whole enterprise knowledge base, and can provide and combine information from different policy documents, processes, and databases. This can help managers make better decisions and improve the overall efficiency of the fleet.
Conversational fleet management also improves the employee experience, both for the managers as for the employee. By providing a digital assistant that can answer their questions and provide support, employees have a responsive experience that answers their inquiry on the spot. On the other hand, this support allows fleet managers to feel more empowered and in control of their work, leading to increased job satisfaction and productivity.
The Future of Fleet Management
As the world becomes more and more conversational, the use of conversational fleet management is set to increase. In the future, we can expect to see more sophisticated digital assistants that can perform complex tasks and provide more detailed insights into business operations.
One of the most exciting possibilities of conversational fleet management is the combination with deeper data analytics and AI. The digital assistant will be able to translate all kind of questions in plain English, or any language you prefer, into complex database queries, summarising results both graphically and verbally. This can help fleet managers make better decisions, faster, and eliminates manually collecting, cleaning and analysing data.
Of course, this assumes the integration with your database. Further exciting possibilities lie in the integration of conversational fleet management with other, internal and external applications, such as social secretaries, leasing company services, or HR systems. This can provide a more seamless experience for employees and fleet managers, as they can access all the information they need from a single interface.
Conversational fleet management is the future of management in this niche. By using conversational AI technology, managers can improve the efficiency, accuracy, and employee experience of their fleet operations.
As the world becomes more conversational, we can expect to see more sophisticated digital assistants that can perform complex tasks and provide detailed insights into fleet operations.
The future of conversational fleet management is exciting, and we look forward to seeing how this technology will continue to evolve and shape the future of SaaS applications in general, and fleet management in particular.