Building an AI Solution That Meets Customer Needs
Companies that develop rigid, one-size-fits-all AI solutions risk creating technology that doesn't align with real-world challenges. True innovation in AI comes from understanding customer needs and building technology that enhances their experience rather than simply chasing the latest trends. Businesses prioritizing customer-centric AI development will create more effective solutions and build trust and long-term engagement with their users.
To build a robust AI solution, the process starts with an AI framework. An AI framework serves as the foundation of all AI solutions, it provides the necessary tools, libraries, and interfaces that accelerate development while ensuring scalability and flexibility.
“The AI revolution isn’t coming; it’s already here. Companies are either using AI or talking about using AI, but many are unsure how to leverage it in the best possible way. Start small, integrate AI into daily workflows to identify the benefits, and start building small use-cases as a first step toward transformation.” - Caroline Sanne, Business Advisor, Avensia
A Flexible and Scalable Approach to AI
AI frameworks are broad and reusable across multiple applications, and one of the essential elements of an AI framework is its adaptability. With adaptability, businesses don’t have to build AI solutions from scratch; instead, they can use an existing, proven AI model and customize it to fit their unique requirements.
We know that this flexibility is crucial to most businesses. Companies require solutions that are not just effective today but also capable of scaling and adapting to future challenges. A modular and expandable AI framework enables businesses to build upon their existing capabilities without constant reinvention. By prioritizing adaptability over short-term fixes, organizations can ensure that their technology investments remain relevant, providing a sustainable foundation for growth and innovation.
Real-life example: The tedious, manual image-reviewing process
AI has the power to streamline countless business processes, reducing manual effort, increasing efficiency, and ultimately enhancing the user experience. One area where AI significantly improves both workflow and customer engagement is image processing.
Images play a crucial role in modern commerce, especially in e-commerce, where high-quality visuals can make or break a sale. However, managing thousands of product images efficiently while ensuring consistency across platforms is often a massive challenge that takes time and effort.
Imagine you’re a retailer with an online store, uploading 500 images you just received from a supplier. You need to manually review each one, select the best-quality images, and identify which ones should be used as the main product images. Tedious and time-consuming, right?
From Manual to Automated: An AI Framework in Action
Recognizing this challenge, Avensia’s AI experts, Balamurali Chinnathambi and Caroline Sanne, joined forces to develop an AI framework. While currently applied to an image processing solution, this framework has the potential to expand into a wide range of AI applications, enabling smarter AI usage.
Based on this framework, the image processing solution automates and enhances how businesses handle product images - saving businesses hours of manual image sorting. In only minutes, the AI solution sorts through thousands of images, ensuring that they meet quality standards, are correctly classified, and are optimized for different digital channels. Even when all images meet quality standards, the model can decide which image is the most impactful, ensuring your products look their best in any context.
However, this is just the beginning. the AI framework isn’t limited to image processing. It serves as a foundation for a much broader range of AI-driven solutions. Because the core model is flexible, it can be adapted and expanded based on specific customer needs. Whether it’s content generation, data enrichment, automated tagging, or other forms of intelligent automation, the same AI framework can be repurposed and refined for entirely different purposes.
This framework not only reduces the barriers to entry for businesses looking to adopt AI but also ensures that they always have access to the latest updates and improvements without the need for manual upgrades.
Looking Ahead: The Future of AI in Business
AI is not just a trend; it is shaping the whole future and the way we do business. What’s crucial is to know how to use AI in a way that boosts business, which comes down to adopting tailored AI solutions that meet real customer needs rather than relying on generic technology just for the sake of it.
Finding business pain points and developing AI-driven tools that provide real value is key to keeping ahead of the competition. Today's AI frameworks should aim to be future-proof, adaptable, and scalable. The image processing solution is a prime example of this strategy in action, but it is only the first step to what can be.
The foundation is here. The possibilities are endless.
Are you interested in hearing more about AI frameworks and how they can assist your business? Contact us, and we’ll be more than happy to set up a meeting with one of our AI experts.
