The project encountered several initial challenges. Employees relied heavily on manual copywriting, which was time-consuming and prone to inconsistencies. This workflow delayed the listing of products on e-stores, negatively impacting sales and customer satisfaction. Additionally, the client struggled to maintain uniformity across product descriptions while effectively highlighting specific features and distinctions.

Another challenge was ensuring that the generated content adhered to the brand’s tone and style. With diverse product categories, training a system to recognize subtle language variations proved to be a daunting task. The copywriting team often found their efforts stretched thin, limiting the time available for creative tasks such as developing marketing campaigns.

Finally, there was a need for a scalable solution capable of managing thousands of products without compromising quality. The existing workflow was insufficient to meet the demands of the expanding e-store portfolio, highlighting the necessity for an efficient and reliable alternative.

The company implemented an AI-powered content generation system that was trained using examples provided by the copywriting team. This system was designed to create multiple versions of product descriptions, keywords, and titles based on predefined parameters such as target audience and product features.

To ensure brand consistency, the AI was fine-tuned with feedback from the team, incorporating the nuances of the brand’s tone and style. The solution also allowed for rapid iteration, enabling the team to review and refine outputs efficiently.

By automating repetitive tasks, this solution freed up the copywriting team to focus on strategic initiatives. As a result, it not only reduced costs but also ensured faster product uploads to e-stores, thereby enhancing the company’s competitive edge in the digital marketplace.