The power of AI and personalization in today's business environment

Businesses of all sizes and across all industries are finding ways to effectively leverage AI to interact with customers, drive personalized experiences, and operate more efficiently. According to McKinsey research, an estimated 71% of consumers expect a personalized experience when interacting with a company, and 76% are dissatisfied when they don't get it.

It may sound contradictory, but artificial intelligence (AI) is emerging as a key driver of personalization. AI may be a technological tool, but that doesn't mean it's completely divorced from what humans want. That's because AI relies on human input to provide output for a specific purpose. Therefore, when AI is trained on high-quality and reliable datasets, it can provide superior outputs that provide personalized recommendations to individuals. It's up to businesses to realize how they can leverage AI to create personalized experiences that keep customers coming back again and again.

Understand the impact of AI

The buzz around AI is growing, and high-quality, diverse data increases its effectiveness and drives stronger customer connections. AI-driven personalization uses algorithms to analyze extensive datasets and enable customized interactions at the individual level. These interactions can include everything from customized text marketing messages to personalized service recommendations when a user visits a company's homepage. “Many people don't understand how AI works and the different ways it can be used to benefit humanity,” says online fashion retailer Decoding Size and Shopping says Raj Chandrasekaran, CTO of True Fit, a personalization platform that helps customers use AI to fit their needs. “When everyone has access to AI, they end up needing data to inform it. For us, the strength of AI lies in its ability to digest and learn from large amounts of diverse, high-quality data. , we believe in the ability to make informed predictions and decisions that address the needs of specific people, using True Fit to leverage customer preference information from sizing data from thousands of brands and dozens of others. Connecting with billions of transaction signals, we enable shoppers to buy the clothes they love online.”

This level of personalization is especially beneficial in online retail, where consumer loyalty is in flux. “Consumers don’t just want personalization; they demand it.” Store and product loyalty becomes even more confusing, as explained in McKinsey’s Next in Personalization 2021 Report. It's important to get it right. AI can be a valuable tool for delivering a great customer experience and standing out. “Artificial intelligence, through algorithms, can predict which products a customer is likely to choose based on personal data such as browsing history and past purchases,” adds Statista's Stephanie Chevalier.

How AI creates personalized experiences

So how exactly do robots turn seemingly random information into unique experiences? It starts with feeding them the right data. By leveraging machine learning (ML), AI can analyze data and categorize it into patterns to differentiate between consumer behaviors, preferences, and past interactions. This data comes from a variety of sources, including browsing history, demographic trends, customer service interactions, customer feedback, and social media interactions. “Trust is everything in retail, and the reason True Fit is able to provide such a wide range of trusted recommendations is because of the absurdity of our data,” says Chandrasekaran.

Although many have cited privacy concerns regarding data collection, most consumers are willing to exchange data for personalization. “Consumers interested in product personalization are generally more willing to share their data (92%). According to an Accenture report, most people are willing to share their body measurements (66%). ), more than half say they share product feedback (55%).

Deep AI analytics can help companies provide personalized recommendations, services, and content to individuals based on their shopping patterns. “Highly customizing your online store increases user engagement and satisfaction by tailoring customer encounters to their interests and needs,” says Chandrasekaran. However, it is important to note that collecting quality data takes time. “AI works quickly, but the process of getting the right amount of data is not always fast. In a world where AI is available to everyone, the key differentiator is your own proprietary data. ”

As AI technology continues to evolve, the range of possibilities for personalization in digital stores and experiences will expand. The use of AI in personalization is just scratching the surface. As companies continue to innovate, the bond between brands and consumers will strengthen through more personalized and meaningful interactions. By leveraging AI to respond to customer preferences, businesses can improve customer satisfaction, improve engagement, increase loyalty, and ultimately drive growth and success.