How to Build a Customer-Centered AI App
We can now observe that more and more companies are beginning to see prospects in business models that put the customer and his/her needs at the center. That's why a lot of them have started working actively on introducing AI-powered applications into their processes. Such apps can greatly contribute to the company's development as a customer-centric one.
According to McKinsey & Company's report, 40% percent of respondents say their organizations will increase their investment in AI overall because of advances in gen AI.
Respondents across regions, industries, and seniority levels say they are already using generative AI tools.
Why is customer centricity so vital for modern business?
As being customer-focused is becoming a key success factor for many organizations, let's take a closer look at the main benefits it can bring you.
Customer loyalty
We have already mentioned that the customer is at the center of all processes in the business model we are considering. It makes him feel that he is cared for, heard and gets precisely what he needs. This increases loyalty and leads the person to become a regular customer. In addition, the client is likely to tell his friends about your company and how you care for your people, which will increase your popularity.
Increased revenue
By focusing on customer satisfaction and providing personalized service, you get people to value the brand more. It is extremely good at raising the likelihood that a person will cooperate with you on a regular basis, as well as purchase additional recommended products or services. In this way, the level of revenue will only increase.
Recognition and positive brand image
Quality and a good attitude are something that will always be in demand. Give your customers this impression of your brand and soon you will see a positive image of your company on the market that attracts new clients.
Quick adaptation to changes and high competitiveness
Thanks to close communication with your customers, you are always the first to know about their new needs and views on services. In this way, your organization can react quickly to changes and remain competitive.
How can AI apps help to be customer-centric?
Artificial intelligence offers a variety of tools that can be used to improve customer experience and create a customer-centric business model. Below you will find some of the most common ways you can utilize AI-powered solutions in your processes:
Personalization
AI is able to analyze all actions of an individual as well as their preferences. Based on this, the system can suggest recommended products that may be suitable for the customer. For example, chatbots can satisfy basic requests by knowing the customer's attitude towards something. Also, AI allows organizations to choose the style of communication with the audience more accurately, allowing customers to feel comfortable working with you.
Explore our case: Virtual Try-On Room with SMPL Anthropometry
Omnichannel customer experience
Companies usually have connections to different platforms where customers can interact with them. Artificial Intelligence-based software is capable of unifying the entire interaction experience and helping to continue it efficiently and seamlessly despite changing channels of information acceptance.
Understanding of clients' demands
By collecting information from customers about your services (this can be done through filling out quick web forms, surveys, reviews, and comments) and using AI and ML tools (e.g., NLP), you can determine the mood of your audience, their current needs, and predict their behavior. This way you can not only understand and anticipate your clients but also identify problem areas that need to be fixed.
Explore our case: AI-Driven GIS Mobile App
UI improvement
The user interface is what people interact with your company through, so it should be clear, minimalistic and intuitive. AI can help with UI customization so that users have a good experience interacting with you no matter what device they are using.
Generation of content
Articles, posts and blogs need to be content-rich and attention-grabbing, because then people will want to use your services. This is a big job that can be facilitated by AI (in particular its tools such as ChatGPT). By taking advantage of such opportunities, you can put most of the work on modern technologies and devote your time to more important things.
Explore our case: AI-Driven Skin Cancer Detection Application
Optimization and split testing
Split testing is intended to help with optimization by comparing and determining the best options for design, web pages, email templates and so forth. In order to avoid wasting time designing all of this in search of the right fit, AI can generate variants on its own. Already after testing, the technology itself will be able to fix problem areas and you will be able to optimize your business processes.
Explore our case: AI-Driven Chatbot for Parking Space Identification
Developing AI-based software
Software development is something you should take seriously to get the result in the form of a suitable solution. Here is a simple step-by-step roadmap to help you get oriented in this endeavor:
Discovery phase
This is perhaps one of the most time-consuming steps and a lot will depend on it. You need to properly analyze your company's needs as well as the problem areas that you want to tackle with new software development. Besides, this phase includes researching the market trends and analyzing your competitors. Most importantly,
Planning
Making a work plan will help the team to move forward, know what to do and clearly understand the project objectives. Specify in detail all processes, responsible people, budgets, timeframes, and metrics for measuring the final product's success.
Design
Test different UI/UX options and choose the one that will be most convenient for the customer. Also keep in mind that personalization should come first.
Project Development
During this phase, most of the work takes place. Ensure you implement AI models to help you be a customer-centric enterprise.
Testing
Test the AI models to see if they function in a way that will enable you to achieve your goals. Gather as much feedback as possible from customers and the team and try to remove all bugs and fine-tune every element of the project.
Installation and tech support
Smoothly introduce the new solution into your business processes and monitor its performance. This way you will keep everything running properly and be able to respond to issues quickly.
AI software development with SDH
Building AI software is something that Software Development Hub's experts are good at as one of the main focuses of our work is the delivery of AI and ML solutions. Our experts are always up-to-date with the latest innovations in this field and know exactly what modern businesses need in a rapidly changing environment. So, put all your doubts aside and be confident that AI is the future, and we can help you to achieve it.
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