From Forbes 30 Under 30: How AI Shapes Retail Trends

Artificial Intelligence (AI) is revolutionizing e-commerce, bringing innovation that’s impossible to ignore. The Forbes 30 Under 30 2025 list celebrates rising stars who are using AI to disrupt online retail and set new standards in customer experience.

Take Aryan Sharma and Ayush Pathak, co-founders of Induced.ai. Their platform automates mundane logistics tasks like screening job applicants and drafting emails, giving businesses a serious productivity boost. Or consider Aditi Sinha and Rishabh Jain, who launched Locale.ai, a tool that integrates data from platforms like Salesforce to streamline business operations. Their innovations are reshaping the way companies approach efficiency and customer engagement.

Forbes 30 Under 30 2025: Celebrating Innovation in AI

The Forbes 30 Under 30 2025 list shines a spotlight on the brightest young innovators across industries, with AI playing a starring role. These trailblazers are redefining what’s possible, from transforming e-commerce with personalized shopping experiences to streamlining business operations through automation. 

Source: Forbes (Full list: https://www.forbes.com/30-under-30/2025/ai)

How AI Fuels eCommerce in 2024 & Looking Forward in 2025

The eCommerce landscape continues to shift, driven by emerging trends and consumer demands. These trends are influencing the way businesses approach ecommerce, and they include:

• Augmented Reality & Virtual Try-ons
• Mobile Commerce Dominance
• Sustainable & Eco-Friendly Products
• Omnichannel Strategies for Seamless Shopping

Augmented Reality and Virtual Try-ons

Augmented reality (AR) and virtual try-ons are changing the way customers shop for products. From cosmetics to jewelry, AI-driven AR experiences allow consumers to virtually try before they buy, boosting confidence and reducing returns.

Simplify Your Makeup Sales

Makeup Virtual Try-ons allows users to test different cosmetics, shades, and styles in real-time to make it easy to find the perfect look without ever touching a makeup brush.  

Learn more about Makeup Virtual Try on > 

Real Personalization in Skincare Products

This cutting-edge solution employs AI to assess your skin's unique needs and offers personalized skincare recommendations, helping you achieve a healthier and more vibrant complexion.  

Learn more about Skin Analysis solution > 

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AR Jewelry: Transforming the Industry

This advanced solution allows customers to try on exquisite pieces virtually, and see how each pieces of jewel complement their style and attire.  

Learn more about Jewelry try on > 

Hairstyle & Hair Color Try on

With Hairstyle & Hair Color Try On, customers can experiment with various haircuts and colors virtually, empowering them to make confident choices about the next hairstyle.  

Learn more about Hair Color & Hairstyle try on > 

Explore Virtual try on experience in Makeup, Skincare, Eyewear, Rings, Earrings, Hairstyle & more.

Mobile Commerce Dominance 

Mobile commerce is no longer a trend; it's the cornerstone of online shopping. With the proliferation of smartphones, businesses are leveraging AI to optimize mobile experiences, creating user-friendly apps and responsive websites.

Sustainable and Eco-Friendly 

Consumers are becoming more environmentally conscious. eCommerce businesses are responding by offering sustainable and eco-friendly products and services. AI helps eCommerce businesses in sourcing sustainable materials and in promoting these products effectively & sustainably.

Omnichannel Strategies for Seamless Shopping

Creating a seamless shopping experience across multiple channels is vital. AI is enabling eCommerce businesses to integrate online and offline experiences, offering a consistent, convenient, and efficient path to purchase.

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4 Key Benefits of AI in Ecommerce

1. Increased Sales Through Intelligent Product Recommendations 
2. Efficient Inventory Management and Demand Forecasting
3. Data-Driven Decision-Making and Competitive Edge

Increased Sales Through Intelligent Product Recommendations 

AI algorithms are designed to sift through mountains of customer data, deciphering their browsing history, purchase behavior, and preferences. By doing so, they can provide highly intelligent and relevant product recommendations, enhancing cross-selling and upselling opportunities. 

Efficient Inventory Management and Demand Forecasting 

Through the analysis of historical sales data, seasonality trends, and real-time factors like market demand, AI can fine-tune inventory levels. Furthermore, demand forecasting, driven by AI, helps businesses predict when and what customers will want to buy. 

Data-Driven Decision-Making and Competitive Edge

With access to data on market trends, customer behavior, and competitor strategies, businesses can make informed, data-driven decisions. These insights are invaluable for staying ahead of the competition. Armed with comprehensive information, companies can adapt to shifting market conditions, fine-tune their product offerings, and optimize their marketing strategies. The result is a competitive edge that positions businesses for long-term success. 

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5 AI eCommerce Examples & Use Cases

Real-world examples of AI in eCommerce demonstrate its effectiveness across various domains:

1. Virtual Try-ons in Beauty and Fashion Ecommerce
2. Personalized Product Recommendations
3. Chatbots for Customer Support
4. Dynamic Pricing Algorithms
5. Sales Forecast

Virtual Try-ons in Beauty and Fashion E-commerce

In the beauty and fashion industry, the concept of "try before you buy" has been reimagined with the help of AI. Brands are leveraging AI-powered virtual try-on experiences, customers can confidently explore different looks and styles, reducing uncertainty about their purchase decisions. This not only enhances the customer experience but also leads to increased sales, as shoppers are more likely to make a purchase when they have a better understanding of how a product will suit them.

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Personalized Product Recommendations

AI algorithms analyze vast sets of user data, including browsing history, previous purchases, and even items in the customer's shopping cart. With this knowledge, these platforms generate highly personalized product recommendations. Customers are presented with a curated selection of products that are not only aligned with their interests but also complement their previous choices. This personalized approach significantly enhances cross-selling and upselling opportunities.

Chatbots for Customer Support

Chatbots are available 24/7 to assist customers with their queries, provide product information, guide them through the purchasing process, and even help resolve common issues. These chatbots are powered by natural language processing (NLP) and machine learning algorithms, which enable them to understand and respond to customer queries in real-time. The availability of round-the-clock customer support not only enhances the overall customer experience but also reduces response times, ensuring that customers are well-served whenever they need assistance. 

Dynamic Pricing Algorithms

Retailers are increasingly turning to AI-driven dynamic pricing strategies to optimize their revenue. Dynamic pricing involves adjusting the prices of products in real-time based on various factors, including demand, competitor pricing, and customer behavior. AI algorithms analyze these factors and make instant pricing adjustments to maximize profitability. For example, during periods of high demand, prices can be adjusted slightly upward, while during slower periods, prices may be lowered to attract more buyers. Dynamic pricing not only optimizes revenue but also ensures that products are priced competitively, which can be particularly crucial in highly competitive markets.

Sales Forecast

AI-powered algorithms analyze historical sales data, market trends, seasonality, and various external factors to predict future sales trends. By understanding when and what customers are likely to purchase, businesses can plan their inventory and marketing strategies effectively. This minimizes the risk of overstocking or understocking products, reducing operational costs and improving overall efficiency. 

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Perfect Corp. AI Solutions

Perfect Corp. stands at the forefront of AI solutions, offering a comprehensive range of AI technologies. From makeup and skincare to fashion virtual try-on solutions, their expertise empowers brands to harness the full potential of AI in the beauty and fashion industries.

Contact us today for a quote on your desired AI solutions!

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