In the field of e-commerce we apply artificial intelligence technologies in three main areas:
Posted: Wed Jan 22, 2025 8:43 am
Creation of a product brand: naming, selection of a corporate style and design code, assistance in finding ideas and references for product photo shoots, as well as analysis of the niche in which the seller wants to advance.
Delivery: selection and communication with the supplier.
Working with a product card: filling out the card, building a lebanon telegram database sales funnel and, in particular, closing objections, as well as SEO optimization of texts.
So far, technologies are best at naming. At the same time, the result largely depends on the wording of the promt. The more detailed the product line is described, the more keywords, the more accurate the result. At the same time, the proposed options can be refined. For example, you can ask the neural network to come up with similar names, focusing on the one you liked the most in the first iteration.
We also have successful experience in composing descriptions in product cards using keywords. If you specify in the request that the keyword should not be repeated, you will be able to avoid spamming at the text creation stage. Later, of course, it is better to check the texts on Glavred and text.ru.
The neural network helps to formulate questions for Custdev. We limit the source base for the AI to get a higher quality result. For example, in a request, we can ask the AI to take on the role of such experts as Steve Blank, Eric Ries, and Brandon Schaur.
GhatGPT is our “tool for everything”. We use Midjourney situationally — to work with visual content. For example, to create logos and illustrations or to find ideas for photo shoots. In addition, we use specialized services, such as 24AI, which creates product photos with different realistic backgrounds based on a text description.
Delivery: selection and communication with the supplier.
Working with a product card: filling out the card, building a lebanon telegram database sales funnel and, in particular, closing objections, as well as SEO optimization of texts.
So far, technologies are best at naming. At the same time, the result largely depends on the wording of the promt. The more detailed the product line is described, the more keywords, the more accurate the result. At the same time, the proposed options can be refined. For example, you can ask the neural network to come up with similar names, focusing on the one you liked the most in the first iteration.
We also have successful experience in composing descriptions in product cards using keywords. If you specify in the request that the keyword should not be repeated, you will be able to avoid spamming at the text creation stage. Later, of course, it is better to check the texts on Glavred and text.ru.
The neural network helps to formulate questions for Custdev. We limit the source base for the AI to get a higher quality result. For example, in a request, we can ask the AI to take on the role of such experts as Steve Blank, Eric Ries, and Brandon Schaur.
GhatGPT is our “tool for everything”. We use Midjourney situationally — to work with visual content. For example, to create logos and illustrations or to find ideas for photo shoots. In addition, we use specialized services, such as 24AI, which creates product photos with different realistic backgrounds based on a text description.