AI makes Personalized shopping fun!!
SHOPPING!!! Something we all love. Be it clothes, shoes, accessories, groceries, books, electronic gadgets, fruits, vegetables et al. are now available on the net at the click of the button.
Artificial Intelligence undoubtedly makes shopping more personalized and enjoyable. It recommends tailor made products as per individual choices and needs. This definitely helps the consumer by saving lots of time and making it easier to shop. We are all buyers and have visited hundreds of different stores in person or online. It means no matter what store you shop at, you’ll have to sift through tons of unrelated items before you can find what you really need. Shopping is always like that. But that’s not what shopping should be. What if the first product you saw was exactly the one you needed? Even better, all the products were displayed throughout the store and categorized by how important they were to you, this is how shopping should be. It’s quick, easy, and personalized. Just a few years ago this seemed impossible, but today’s shopping, both in-store and online, is evolving rapidly. With the power of artificial intelligence (AI) and automation, brands can finally tailor their shopping experiences to their customers interests based on real-time browsing habits and shopping data.
Additionally, AI can provide personalized offers and discounts to create a more engaging and rewarding shopping experience. For example, if a customer has previously purchased a particular brand of shoes, the AI system can suggest complementary items such as socks or bags, and offer discounts on combined purchases. Additionally, AI helps customers find exactly what they’re looking for by implementing advanced search and filtering options. For example, a customer looking for a red dress can use AI-powered filters to narrow down options based on style, price range, and size, making the shopping process more efficient and enjoyable.
AI-powered online retail personalization solutions are more than just product recommendations. They are much more versatile. Whether it’s menu navigation, newsletters, or editorial content, AI-controlled systems can be used to optimize a customer’s personal shopping experience on multiple levels. For example:
- Personalized approach with different welcome texts and product descriptions.
- Online shop navigation sequences adapted to demographics or visitor history.
- Product category.
- Analyze customer ratings to target better products and product suggestions.
- Interactive online trading using smart chat-bots and voice-controlled services.
- Email marketing by tailoring content relevant to each customer.
That said, AI is essential in creating more impactful ads based on previous ad performance. AI works behind the scenes to increase relevant reach by delivering customized marketing content such as ads, blogs, reels and videos. This optimizes the cost of ad impressions. About 75% of customers expect an answer within minutes. This puts pressure on brands to set CRM on the cutting edge, but AI-powered chat-bots make this easier. Chat-bots learn, develop, and imitate human responses and are not limited to just generic scripted responses.
Algorithms are what we associate with big tech companies. It’s a well-guarded secret of success that can make or break these big brands. Search engine algorithms determine what users see in search results, and no two users will ever see the same page. The purpose of algorithms is to understand shopper behavior every second and provide the products, services or results that individuals are most likely to purchase.
They do this by catering to pretty much everything we do online, like browsing for jeans or finding directions to the nearest department store. When this data is combined, and AI is thrown into the mix. This creates a situation where algorithms can anticipate our needs before we do.
AI makes shopping easy, personalized, and fun. The power of AI helps brands tailor shopping experiences to customer interests based on real-time insights. This creates a seamless experience, further increasing demand for personalized shopping experiences.
The diverse possibilities that artificial intelligence offers in online trading are already being used in innovative solutions from many companies. For example, Amazon’s digital shopping assistant “AR View” uses augmented reality to allow customers to virtually place selected products in their home before making a purchase. After launching the app, the user simply aligns the smart phone with the desired location. Products appear on your screen in seconds via augmented reality and can be rotated, moved and viewed from different angles.
Visual search solutions are also very popular with many e-commerce providers. For example, a consumer can take a picture of a particular fashion and get suggestions for similar products in an online shop. Industry giants such as Zalando, Otto, and ASOS have used the principle of simplifying their customers product search by uploading photos for years. There are good reasons for this. According to his latest OMD survey, “The Retail Revolution,” 67% of his Germans are already using visual search options, and the trend is growing. As such, visual search presents a promising opportunity and offers great marketing potential, especially in the fashion, food and cosmetics industries.
Overall, AI technology makes shopping fun by providing personalized recommendations, deals, and search options, making it easier for customers to find and purchase items they love.