Our main task was to significantly streamline the content creation process and automate category attribution, resulting in the following benefits:

• Increasing the ability of search engines to index the store.
• Reducing the cost of creating unique content to a minimum.
• Minimizing the time to add and update products.
• Enabling the rapid description of a huge number of products, which allows for effective expansion of the offer.

Implementation of the project encountered several key challenges:

• Large amount of data: Processing 40,000 products while managing 450 categories required a scalable solution.
• Duplication of content: The need to eliminate visible repetition that negatively impacts SEO indexing.
• Assortment diversity: One product could fit into several categories, which required precise attribution based on key phrase analysis.
• Process automation: Need to create a system that independently detects new products and generates descriptions for them, minimizing manual work.

In response to the above challenges, we created an advanced algorithm that combines elements of artificial intelligence and predefined copywriting rules:

• Our application “listens” to the store and automatically identifies products that need to be optimized. After importing products from the store, the system displays a list of new items ready to generate unique content.
• We have created an advanced algorithm that generates professional-sounding titles and descriptions based on raw product descriptions and images. The algorithm uses a dedicated content writing guide to make descriptions personalized, unique and SEO-optimized, resulting in better search engine visibility for your store.
• Our solution analyzes keyword phrases included in product names and automatically assigns relevant categories to them. In case a product fits into more than one category, the system allows easy verification and correction of the user's choice.
• After generating descriptions and titles, the application automatically fills in the relevant fields in the store panel. The user only validates the correctness of the data, and his interaction is limited to the final update of the products.

We started the project with a detailed analysis of existing content duplication problems and the need for SEO optimization. Then:

• We designed an intuitive interface to easily monitor new products and the content generation process.
• We created an advanced algorithm that continuously detects new products, generates unique descriptions and automatically assigns products to appropriate categories.
• We integrated the system with the store's API, automating the flow of data and eliminating manual content entry.
• We conducted a series of tests to ensure that the generated content was SEO-compliant and that the system effectively assigned categories.

By implementing a dedicated application, our client achieved significant business benefits:

• Maximizing the store's indexing capabilities - unique descriptions and titles contributed to increased visibility in Google, which translated into a 40% increase in organic traffic.
• Reduced costs - automating the content creation process reduced copywriting costs to a minimum, eliminating the need to manually write descriptions.
• Speeding up the process of adding products - content update time was reduced by more than 60%, allowing new products to be added to the store faster.
• mproved content quality - descriptions generated by our algorithm are characterized by a professional style, which builds customer trust and drives better sales results.
• Efficient category assignment - automation of this process enabled precise management of 450 categories, which streamlined store navigation and improved user experience.