Using its advanced machine learning, Muah AI has shown its ability to predict what customers will be like through the analysis of consumer data trends. For instance, research has found that AI-driven platforms can make 90 percent accurate predictions of what products someone is most likely to buy, based on their previous purchase histories and internet activity. This predictive capability allows businesses to deliver customized recommendations that are more likely to convert. McKinsey & Company reported that firms leveraging AI for personalized marketing were generating an extra 20% in sales and lowering the cost of customer acquisition by about 30%.
For example, in practice AI has been used by large corporations such as Amazon to anticipate which product their consumers will likely buy next based on the customer browsing history, previous orders and similar consumer profiles. This prediction by technology has been the reason for 35% of total sales at Amazon, through recommendations only. Muah AI is capable of performing this kind of predictive analysis by processing consumer behavior over the various touchpoints, including websites, social media channels and customer service interactions.
Anyone can keep track of current tastes but tracking emerging trends is something that Muah AI does ensuring businesses everywhere maintain an early mover advantage. For example, Spotify predicts based on user behavior about what type of music a user might prefer which makes the experience more personalized. Similarly with Muah AI, brands can calibrate their strategy in real-time accordingly by navigating what has changed on the consumer end.
The words of Elon Musk, —The best way to predict the future is to create it. Through Muah AI, businesses can influence consumer preferences by engaging with them strategically which allows brands to ensure their products or service offerings are appealing to their targets. Muah AI achieves this functionality through ongoing training by discriminatory data and readjusting forecasts based on historic changes, thereby proving itself to be a tool for businesses that aim at deliverance as well meet the customers demand before it even arises.
In addition to this aspect, Muah AI also assists businesses in predicting the market and reducing the uncertainty related to decision-making process. According to a study from Harvard Business Review, companies that take advantage of AI for predictive analytics have a 45% shorter product development time and an ROI that’s 25% higher. This implies that since AI is able to figure out what preference might follow next, it increases customer experience and brings operational efficiency hands in hands. For more about Muah AI and how to accurately anticipate preferences based on behaviour, see muah ai.