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How Gen AI will revolutionize E-Commerce content creation

It’s no surprise that generative AI has generated a lot buzz. This opens up many opportunities in commerce and content. The Gen AI technology has a lot to offer, particularly in the e-commerce sector.

In the next 3 to 5 years, generative artificial intelligence could boost operating profits in the apparel, fashion and luxury sectors up to $275 Billion, according to an McKinsey analysis. While it can be difficult to navigate this rapidly evolving landscape, those who take the plunge will find many opportunities.

Let’s talk about the biggest issue. Will AI become a reality? steal our jobs? Concerns have been raised about the possibility of generative AIs replacing humans in jobs related to marketing and content creation as well as e-commerce merchandise.

It’s important to keep in mind that while machine learning and artificial intelligence are becoming more sophisticated and capable, they are still at their infancy. AI is not replacing humans, but many marketing and online-commerce experts are of the opinion that it will create new opportunities.

AI can help humans make better decisions, and focus on more creative and strategic aspects in their work. It does this by automating certain tasks and providing data and insights. Here are three ways generative AI can help you be more productive in the workplace with regards to content creation.

1. Support and Augmentation

AI-powered solutions enhance human capabilities. They offer rapid support, automate repetitive operations, provide wise recommendations and increase productivity and efficiency. These tools help people to do in-depth analysis of data, produce insights, and reach well-informed conclusion. They help with content refinement by improving consistency, language, and proofreading.

2. Producing Unique Content

The models use deep learning and natural-language processing to create content that mimics the creativity of humans. They are most effective when they are combined with human judgment and creativity. They can be used for brainstorming, experimenting with styles, and optimizing operation.

3. Validation of content

AI-powered tools that analyze data, fact-check and identify any biases and inconsistencies can help to verify the correctness, authenticity and credibility of content. These resources help consumers, content producers, and others to encourage accuracy, make informed decisions, and combat misleading information.

AI and generative tools can inspire creativity and help you navigate the digital landscape with ease. We do not have enough highly-skilled individuals to produce the content we need in order to meet the demands of businesses that require a constant flow of contextual content.

AI can help you create contextually relevant, tailored content at an industrial scale, which will boost your conversion rates and sales.

Gen AI Content for Business

In contrast to standard AI which recognizes and categorizes data, generative AI creates new information using foundation models. These deep-learning algorithms are built on unstructured, vast data sets. Applications like GPT 3.5 and DALL E can then use them to perform multiple complex tasks simultaneously.


We will see the integration of features into CMS, PIM and customer service during the initial stages of incorporating AI-based foundation models in ecommerce content.

Chatbots such as GPT can be used in this approach to change the text and make it more engaging. They can also generate new copy from a prompt or premise. This method is effective for long-form articles, blogs and editorials, or optimising titles for SEO and engagement.

In order to promote a product in context and create an emotional bond with it, ecommerce requires rich images. Video and imagery, as well as copy, are more important in a virtual world, where there is no physical product.

Dall E and Bling (Dall E 2) demonstrate that AI-powered image generation has significantly improved. These technologies enable businesses to produce visually stunning images that clearly illustrate the unique features and functions of their products.

Current Limitations of Generated AI

Generic applications may appear impressive at first, but their lack of originality, creativity, and uniqueness is due to the fact that they are based on broad datasets and base models. These models are often trained using large datasets sourced from the Internet, so everyone will create similar content.

The lack of personalization may cause customers to lose interest due to the abundance of content which sounds and looks the same. To stand out in the crowd, businesses must include a unique context and human touch when creating content.

This situation presents an opportunity for businesses to develop foundational models specifically tailored to other verticals like retail, housewares and fashion that could revolutionize customers’ experiences. For example, product detail pages can be made more interactive through the generation of personalized media content, based on prompts from customers and their interactions.

Images Alone Are Not Enough to Sell

It takes more than just images to effectively market your products on landing pages and home pages. Copy and images should be related to each other and blended.

In order to promote and sell the products, you will need to train generative AI with product information, graphics and marketing content. By combining product, data, and content, it is possible to release products quickly with all the necessary content. This content can be updated regularly to reflect changes in market dynamics, customer needs, social trends, or one-time events.


This evolution does NOT imply that the human element will be removed from the process. People may focus their efforts on fine-tuning work such as editing and coordination, rather than copying and pasting information into multiple spreadsheets. The backend team can also focus on finding new, high-quality imagery, precise product data, usable experience elements, and AI training.

Generate AI to tailor E-Commerce content

By incorporating generative AI to companies’ production of content, a system will be created that can create an immense amount of contextually relevant material. This will open the door to personalization.

This capability will allow you to create a variety of sets of ecommerce content that is contextually relevant for each customer, their place in the purchasing path, and which channel they use. All of these will increase your conversion rates and help you drive sales.