The best makeup for beauty and skincare businesses

AI analyzes the type of incoming data (such as skin type, age, preferences, purchase history, climatic conditions) and customer behavior on the website in order to suggest products that are ideal for each customer's needs.

Example: A customer with sensitive skin is looking for a day cream. AI analyzes not only the skin type but also the preferences from previous purchases to suggest products without fragrances and allergens, containing natural extracts for protection and hydration.

2D Overlay & Warping: The technology allows customers to "try on" lipsticks, tonal creams, blushes, eyeshadows, and other cosmetic products directly through their smartphone camera. It can also gather this data to make even better recommendations.

Example: A user can see how a specific color of lipstick or foundation will look on their skin before buying it. They need to upload a photo of their face or the part they want to enhance, and the AI, through computer vision, analyzes the image and adjusts the selected product.

Photos or videos uploaded by the client can be analyzed by AI to identify conditions such as acne, pigmentation, dryness, or fine lines.

For example, if AI detects dryness in specific areas, it will recommend moisturizers with suitable ingredients, such as hyaluronic acid or oils. For accurate diagnostics, the image or video must be of high resolution.

AI can not only perform image searches but also recommend similar products based on visual characteristics or text descriptions.

For example: The customer can upload a photo of a specific product (e.g., lipstick, cream, or other), and AI can suggest the most suitable one available on the website, or suggest a similar product if the customer is looking for something with specific visual characteristics.

AI chatbots provide instant answers to questions about ingredients, usage instructions, or skincare tips, predict possible customer needs based on past interactions, operate 24/7, and support 95+ languages (excluding Chinese and Arabic).

For example: The client asks, "Which serum is best for dark spots?" and the AI will not only provide a recommendation based on proven results and skin type but also suggest additional products that may be helpful based on the client's behavior.

AI can create engaging, SEO-optimized, and personalized content such as product descriptions, blog posts, or videos that inform and educate visitors.

You can create adaptive, interactive elements such as quizzes or surveys that engage customers even more.

Improving Product Images: AI can enhance product images by helping create more attractive and professional-looking pictures that grab customers' attention, from improving quality, correcting lighting and backgrounds, adding effects to creating new looks and 3D.

AI tracks market trends and consumer behavior to adapt prices and offered products.

For example: During the winter, AI identifies an increased demand for products for dry skin and recommends nourishing sets at a promotional price, while also predicting new needs based on customer behavior and global market trends.

Audience segmentation: AI can segment groups of people with similar needs based on skin type, age, preferences, behaviors, purchase history, and identify new niches.

Personalized Advertising Campaigns: AI creates personalized offers based on the purchase history and behavior of users. For example, a customer who regularly buys vitamin C serums may receive recommendations for a new product line with a similar composition, directly through their preferred channel, such as email or social media.

Through Natural Language Processing (NLP), AI analyzes customer feedback to identify key needs and preferences, suggest specific actions or improvements for products and services, and create personalized marketing campaigns.