10 Uses of Artificial Intelligence in 2025

Introduction

At a time when AI has been integrated into almost every sector in the market, it is vital that businesses also jump on the bandwagon. This blog explores 10 uses of artificial intelligence and how these are translated to the applications of AI in business. Once a brand learns how to use AI to the best of its potential, through the multitudes of AI platforms available today, it can truly unlock new heights of success in e-commerce, develop personalized marketing strategies, provide unique user experience and foster a more solid connection with customers. 

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1. E-commerce Sites

The use of AI in business is perhaps the most effective at optimizing e-commerce sites for maximum conversions. AI can be used to enhance search and navigation, provide personalized suggestions to customers and streamline the buying process. It can also help to analyze customer shopping behavior and adjust pricing dynamically. 

Example 

Online retailers such as Amazon, SHEIN, eBay and Walmart have successfully incorporated the use of AI across their online platforms. As a result, customers are shown more relevant product recommendations, face less friction during payments and check-outs, and enjoy a  smoother online shopping experience.  

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2. Lead Generation

AI platforms may be used to track potential customers, follow up on leads and approach them with curated strategies for maximum efficient conversions and reduced lead time. Vast amounts of consumer data is collected, analyzed and interpreted to craft personalized messages for every lead, compose special offers or provide services customized to the users’ needs. 

Example

Nabiq is one such platform that boasts the ability to provide a salesman for each visitor. High-intent leads can be engaged through hyper-personalized acquisition, activation and retention campaigns.

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3. Marketing Strategies

The effectiveness of omnichannel marketing strategies can be substantially improved by the application of AI. Starting from effective targeting of customers to strategic allocation of resources, AI-enhanced marketing efforts can lead to improved ROIs. AI can detect valuable insights and patterns from big data, enabling data-backed decision-making. 

Example

Platforms such as Google and Meta offer AI-powered advertisement solutions, in both paid and free formats. As more people click on these ads, the models get better at making the ads more attuned with user viewing behavior and at forming predictions.  

4. Customer Support

Artificial Intelligence can be utilized to provide seamless, helpful customer support round the clock. Equipping AI models with Natural Language Processing (NLP) can also enhance the service delivered. Through virtual assistants or AI chatbots, businesses can provide instant feedback, respond appropriately to unclear queries, reroute customers to relevant agents as required. This also reduces the need for customer support personnel, cutting down costs. 

Example

Commendable examples include easyJet’s chatbot which has a 99.8% accuracy rate on 5 million queries and IBM's Watson Assistant which “gets it right the first time.” Uber, since its inception, has been utilizing AI in not only its dynamic pricing but also in providing top-notch customer services. 

5. Social Listening

Among the artificial intelligence in business examples is the ability of social listening. Through this technique, consumer sentiments across social media platforms and online forums are monitored. Brands can filter irrelevant information, derive insights about user experience with the product/service and heighten social media engagement by keeping up with popular conversations and trends. These amount to better understanding of the customer and helps to build a more personal connection with them.  

Example

The brand Fitbit excels at social listening through its ‘Community’ page while Mastercard analyzes relevant trends from billions of internet conversations through its AI-powered platform Digital Engine. Social listening also enables these brands to be diligent with CSR and keep up with global issues.  

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6. Predictive Analytics

AI models can be used to track industry or market data over long periods of time and form predictions about how consumer preferences might change in the future, and to what extent. This allows a business to forecast demand, thereby optimizing inventory levels and supply chain management. Brands can also gain a competitive edge by anticipating market shifts and trends.

Example

Amazon, for instance, monitors buying habits and browsing patterns to predict consumer needs and personalize their services. Nike also makes use of predictive analytics through data collected across its mobile apps and Fitbit devices. 

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7. Facial Recognition

This technique uses AI to identify and remember facial features. This is particularly useful as a means of providing a virtual try-on opportunity for customers which reduces friction in the buying process. Facial recognition is also applied to ensure security and authentication for digital payments. Additionally, social media engagement can be enhanced through facial recognition coupled with Augmented Reality (AR) filters. 

Example

Using facial recognition, Sephora and Ray-ban offer virtual try-ons while Neutrogena analyzes skin conditions to recommend products. Apple widely uses this technology, from providing security on their smartphones, and transactions through Apple Pay, to avoiding fraud on their App Store.  

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8. Content Creation

AI is becoming increasingly adept at creating accurate, personalized and human-like content for businesses. Generative AI can be used to create engaging visuals and text for social media posts, blog posts and the like while saving time and costs. Content created using AI also stays consistent with the brand’s unique voice and positioning. Such content can be enhanced for SEO, driving up organic search rankings, increasing website traffic, and ultimately leading to higher customer engagement and conversion rates.

Example

The viral BuzzFeed quizzes are all AI-powered to give unique and personalized responses to each individual. Next, Grammarly combines machine learning and NLP to improve written content for customers, suggesting edits such as tone and grammar. Finally, Nutella used AI to design 7 million unique packaging designs as part of its limited edition Nutella Unica campaign, successfully blowing sales through the roof. 

9. Process Automation

Intelligent automation, which is the combination of AI with other automation tools, is a powerful use of AI in business. This accelerates multiple tasks ranging from invoice processing to predictive maintenance for machinery. Human errors are reduced with the additional benefits of ease of scaling and cost-savings. 

Example

Brands such as Deloitte extensively reduced preparation time of management reports through intelligent automation while Western Union reduced time taken to process agent requests. 

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10. Human Resource Management

For businesses, the implementation of AI can be useful in the field of human resource management. AI can be applied to screen applications, provide training plans personalized to each employee’s current skills levels and career goals, and conduct real-time performance appraisals. AI can also be used to optimize staff allocations and schedule management for physical stores. Other uses include AI-driven analysis of employee resignation to improve employee satisfaction and of hiring and promotion patterns to be more inclusive and avoid biases. 

Example

Unilever conducts its recruitment process through an AI-based platform from Pymetrics. It involves gamified assessments and profile-matching to filter the best applicants to proceed to the further stages of recruitment. Besides this, Johnson and Johnson provides wellness plans to employees based on their health data, to increase productivity and reduce absenteeism. 

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Conclusion

Integrating AI can be revolutionary as is evident from these artificial intelligence in business examples. From cost-cutting measures to improving user experience, AI soars in all fields. Embracing AI-driven innovations in 2025 is sure to redefine the way brands operate.