You have developed an amazing AI project that solves a real problem for your customers. But how do you communicate its value and benefits to them? How do you demonstrate that your AI solution is reliable, trustworthy, and ethical? In this article, you will learn some practical tips and best practices to show the impact of your AI project to customers and win their trust and loyalty.
Before you present your AI project to customers, you need to define what impact metrics you will use to measure its success and performance. Impact metrics are the key indicators that show how your AI solution improves the customer's situation, such as increasing revenue, reducing costs, enhancing satisfaction, or saving time. You should align your impact metrics with your customer's goals and expectations, and use clear and relevant data to support them. For example, if your AI project is a chatbot that helps customers book appointments, you can use metrics such as number of bookings, conversion rate, customer feedback, and average response time.
Customer only care about the impacts of their industry. For example, gaming customer care a lot about how to use AI to forecast their advertisement for each players LTV. The real cases that improve the LTV is the most powerful to attract customers and what the customer would like to measure. I.E. customer case how their competitors do and will use similar methods to compare
One of the most effective ways to show the impact of your AI project to customers is to use storytelling techniques. Storytelling is the art of creating and delivering a narrative that engages the audience and conveys a message. You can use storytelling to explain the problem that your AI solution solves, the benefits that it provides, and the results that it achieves. You can also use storytelling to showcase real-life examples and testimonials from satisfied customers, or to illustrate how your AI solution works in different scenarios. Storytelling can help you connect with your customers on an emotional level, and make them feel more confident and interested in your AI project.
Incorporate visual aids like infographics, flowcharts, or animations to make the storytelling more engaging. Visual representations can simplify complex AI processes, making them more accessible to a broader audience. Additionally, sharing success stories or case studies where the AI solution made a significant difference can resonate deeply with potential customers, showcasing real-world impact.
The big part of storytelling is to understand customer's pain point. Usually, tech people don't know much. Talk with the business side. The best story to tell is the success cases you did before. Start from why the customer contact you what problem did they met, how did you solve it. Real cases are the best story to influence
Another important aspect of showing the impact of your AI project to customers is to showcase your AI ethics and transparency. AI ethics and transparency are the principles and practices that ensure that your AI solution is fair, accountable, and explainable. You should demonstrate to your customers that you have followed ethical guidelines and standards in developing and deploying your AI project, and that you have considered the potential risks and implications for the users and the society. You should also explain to your customers how your AI solution makes decisions, what data it uses, and how it handles privacy and security issues. By showcasing your AI ethics and transparency, you can build trust and credibility with your customers, and show them that you respect their rights and values.
Finally, to show the impact of your AI project to customers, you should solicit feedback and iterate. Feedback is the information that you receive from your customers about their experience and satisfaction with your AI solution. You should ask for feedback regularly and systematically, using various methods such as surveys, interviews, reviews, or analytics. You should analyze the feedback and identify the strengths and weaknesses of your AI project, and the areas for improvement or innovation. You should then use the feedback to iterate, which means to make changes and updates to your AI project based on the customer's needs and preferences. By soliciting feedback and iterating, you can show your customers that you care about their opinions and expectations, and that you are committed to delivering a high-quality and valuable AI solution.
The long term relationship starts after the project is complete. You need to earn trust but asking feedback and continue to serve the customer when they have problems after the implementation. More, not only ask customer's feedback but ask them to tell their story as case reference. This will help to expose their brand and help to get more AI project.