Natural Language Generation : successful use for landingpages in your home-built online store

Natural Language Generation successful use for landingpages in your home-built online store

Achieve business model multiplier by utilizing Natural Language Generation and boost your retail sales to the top. Automate the writing of landingpages and get business model multiplier, because product descriptions and category pages will bring business model multiplier to your retail project.

Want to know how this works?

From your product data it is quite easy to produceproduct descriptions and category pages with the Natural Language Generation Platform of AX Semantics Team. You can connect the API to a shop system:

  • Magento, Shopware or Shopify


Who is using Natural Language Generation?

In all over the world already 450are using Software for shops. OTTO, Home24, and Euronics, for example, is one of many companies that have already successfully used this technology Their product descriptions and their category pages are being written automatically based on attributes of their product data and updated using the API of your home-built online store and many other retail systems (e.g. Magento, Shopware or Shopify). A trusted human copywriter first defines tonality, style, and content. This ensures the performance has an individual, warm and friendly feeling.

How do you utilize this for yourself?

Business model multiplier through better product descriptions and category pages has a plentitude of advantages. Customers who feel well informed are more likely to buy and good and clear descriptions also reduce the number of articles returned on your your home-built online store Shop. The use of Natural Language Generation impacts your bottom line in multiple ways. Not to mention that you save time and money when content is written automatically. Do you want to learn how to optimize your writing and get retail that really get your customers to convert? Here’s how – read more about Natural Language Generation

Share on facebook
Share on twitter
Share on linkedin