Artificial intelligence as a tool for creating dynamic product descriptions in e-commerce

Abstract

The aim of the article. The aim of the article is to search for existing services for writing product descriptions based on artificial intelligence and to compare them in terms of a factor evaluation of key functional and commercial indicators. The results of the analyses. An analysis of seven services utilizing artificial intelligence for automated product description writing has been conducted. The general conclusion is that the use of artificial intelligence for this purpose holds significant potential but poses certain challenges and issues that need to be considered. One notable aspect is the similarity in the quality level of the output text across these services. They all demonstrate approximately similar results, providing text that meets the required standards. This makes them effective tools for integration through APIs in large-scale e-commerce projects with extensive product catalogs. Chat GPT stands out with a high score, particularly due to the multitude of parameters available for use through its API, making it an attractive choice for projects requiring consideration of diverse product characteristics in generated text. Having highlighted the advantages, it is crucial to address the challenges posed by artificial intelligence in the context of writing product descriptions. The primary unresolved issue revolves around the similarity of generated texts for similar products. This problem requires further investigation. In summary, the utilization of artificial intelligence for crafting product descriptions in e-commerce is a promising development direction, enabling time and resource savings. With the right approach and consideration of the specific project's characteristics, services of this kind can become effective tools for optimizing the processes of writing product descriptions in e-commerce. Conclusions and direction for further research. With the rapid growth of the e-commerce market worldwide, the number of products requiring descriptions is increasing exponentially. These descriptions should be well-written to encourage website visitors to make purchases. Producing such a large volume of necessary texts solely by increasing the number of copywriters on a company's payroll is difficult and economically inefficient. Therefore, at this stage of artificial intelligence development, specialized tools have started to emerge that write product descriptions automatically. Although they still have some drawbacks, they are reliable assistants in saving resources for e-commerce enterprises and increasing economic efficiency. A comparison of such services has shown that they are roughly on the same level in terms of writing quality and effectively address the tasks assigned to them. The choice of a specific service will depend on the specific business processes of the enterprises, such as the importance of integrating functionality through APIs. Overall, the level of problem-solving for these services is high, except for one — they have not yet overcome uniformity in writing descriptions when similar product characteristics exist. This problem requires further study to find an appropriate practical solution. In addition to the challenges identified, it is essential to emphasize the ethical considerations associated with utilizing artificial intelligence in generating product descriptions. As these systems rely on vast datasets, there is a risk of unintentionally perpetuating biases present in the training data. Ensuring fairness and inclusivity in the language generated by these tools is a critical aspect that demands continuous attention and improvement.