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Including well-known manufacturers such as Shopify, Instacart and Carrefour, various retail companies have taken advantage of ChatGPT. They're testing whether the hot new AI can parse videos, answer questions, provide product information and suggest features.
ChatGPT is an AI chat robot released in November 2022. With its outstanding ability to provide clear and detailed answers to consumer questions in a wide range of knowledge areas, it caused a global sensation upon its launch and naturally attracted great attention from the retail industry. For example, consumers just ask ChatGPT how to decorate a dreamy and gorgeous living room, and it will instantly provide several AI-generated images.
This is simply good news for party lovers. But ChatGPT's truly valuable ability goes beyond that: it can remember the knowledge gained while solving a problem and then use that knowledge to solve a different but related problem. In short, it recalls conversations and context to smoothly keep up with the customer's thinking.
Of course consumers can also benefit: According to a report released by Modern Retail, ChatGPT can complete these tasks without being influenced by advertisers, so the suggestions provided are more reliable and neutral. Even OpenAI accounts currently provide free registration, which can be called inclusive technology.
ChatGPT will soon be fully integrated into the retail experience
But the main problem before ChatGPT was that it was not connected to the Internet, so it was impossible to search for information online. Instead, ChatGPT uses a wide range of training information from, including Wikipedia, news articles, and books, to generate answers to questions.
But these are services that shoppers can already think of and expect retailers to provide. What really changes everything is how retailers use ChatGPT to generate a better customer experience.
New shopping experience powered by ChatGPT
ChatGPT already has a clear advantage: it can communicate fluently with consumers. According to research results released by Capgemini, 54% of users interact with chatbots every day, and 49% of them believe that the responses given by robots in various fields are quite trustworthy.
But in the retail industry, trust levels dropped to 44%, which may be mainly affected by marketing activities. In other words, shoppers may be relatively more trusting of technological achievements that are not influenced by advertising. Based on this, retailers can hopefully turn that trust into a better customer experience.
Be a thoughtful personal shopping guide. Because ChatGPT is particularly good at "understanding" users' preferences through questions and conversations, marketing experts believe it has the ability to grow into a powerful personal shopping guide. Early reports suggest it does have that potential. It remembers customer reactions to early product recommendations and fine-tunes future recommendations accordingly. Grocery delivery platform Instacart, for example, is testing a new feature called Ask Instacart, which would ideally answer questions from customers about product pricing, nutrition and even recipe preparation times.
Become an AI event planner. If a retailer wants to remind a customer of an upcoming promotion, and the customer happens to ask ChatGPT for relevant information, it can give a detailed answer. The AI is also able to remember this information and continue to provide relevant suggestions after future queries. Some studies have even found that ChatGPT can provide preference-level recommendations and organize products according to shoppers’ categories and age groups. However, please note that the current date of ChatGPT cannot be determined yet, so we cannot remind you of specific activities tomorrow or the day after tomorrow. We can only provide relevant resources for the time being.
As a robot nutritionist. Intelligent bots can detect and classify changes in customers' shopping lists and analyze them based on past "conversations." Significant differences in product queries may indicate new medical needs (diabetes) and personal preferences (vegetarianism). In addition to answering questions about recipes and ingredients, ChatGPT can use these changes to adjust product recommendations and even more precise suggestions, such as "xx item contains animal ingredients", "If you have diabetes or are watching your daily sugar intake Amount, please pay attention to the sugar content in xx yogurt" etc.
Solution to growing pains. If a shopper asks ChatGPT about clothes in size 2T, the AI will predict that the user will soon choose clothes in size 3T for their children. However, the changes in children's needs during their growth are far more than that simple. After all, each child's growth cycle is different, and it is often affected by the parents' personal preferences - such as dressing up the child to be more mature too early. Through style suggestions, ChatGPT is able to narrow down preferences and use this information to identify the latest trends in size changes. If parents pay more attention to fashion and want to dress their pre-adolescent children more "trendy", ChatGPT can also list the appropriate styles, representative outfit broadcasters and corresponding age groups (while reminding parents not to let their children go too early Exposure to adult clothing styles).
Services for people with disabilities. For physical and sensory reasons, people with mobility impairments, autism, or Down syndrome may dislike tags and seams on clothing, and need to be specifically considered when recommending. ChatGPT can identify these consumers with special needs through the "Tell us about you/your family" survey or past inquiries in the retailer portal, and then extract from memory the products, brands and retailers that can meet such needs. For example, when asked “Where can I buy clothes suitable for children in wheelchairs?”, ChatGPT recommended Tommy Hilfiger Adaptive series and Target’s Cat & Jack children’s clothing.
Although impressive, ChatGPT is not human
Innovative AI achievements such as ChatGPT can help retailers and brands gain a deeper understanding of consumer groups, but Everyone should also remember: algorithms will never treat customers as real people. It just uses classification tags to try to explain people - married/single, professional direction, residential address, whether they play TikTok, parents' status, whether they are sick, etc.
Therefore, retailers and brands must ensure that their algorithm structures prioritize determining each other’s needs rather than selling their own products. The goal is to understand the “why” behind the searches, questions and conversations people submit to the bot.
And these thousands of words will be gathered into one word - emotional intelligence, which is also an important bridge between AI experience and human experience.
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