Unique, meaningful product texts tailored to the target group increase e-commerce growth enormously. After all, people who shop online want to find all relevant information clearly visible and well described in order to be able to make a purchase decision.
Writing convincing product descriptions manually is too time-consuming and not scalable in the long run. If the online shop is also to be available in several languages, the complexity of text generation increases even more. This is another reason why companies need to find ways to automate the text creation for their own online shop.
This is where AX Semantics ' AI-powered software comes in. The AI-supported platform for automated text creation and optimisation enables companies to generate large quantities of texts effortlessly. This has a positive effect on text quality and SEO ranking and saves time and costs. So what do companies need to do to create automated product descriptions from the raw product data available to the company?
Inspiring product descriptions, which are to be generated automatically, require optimally prepared product data. Ideally, this data is already available. In order to check this, the Awantego implementation experts carry out a data check. In this phase, it is also determined exactly how the automated text generation can be implemented to fit the respective use case.
After a successful data check, original texts are created for the online shop. Original texts determine, for example, the tonality and address for the online shop. In the next step, sentence structures are defined, which are then programmed in ATML. Finally, the texts are finalised and the final, automatically generated texts can then be published live in the online shop in the always up-to-date version and with the best descriptions.
But what happens if the ideal case does not occur and the existing product data does not have the desired quality? Most companies are faced with the challenge that although a large amount of raw product data is available, this data cannot be sufficiently transferred to the individually grown data model despite ERP, PIM or their own shop system.
For this reason, the Onedot product data platform was developed. Thanks to the latest technology and AI-supported, this enables companies to uniformly prepare and enrich different data formats from a wide range of suppliers and manufacturers so that high-quality data is always available consistently and up-to-date in the desired target system. This also means that more attributes can be transferred into the system, which forms the basis for the creation of product texts.
Only those who can create complete product data with the right attributes in their own systems have the possibility to fill the desired record structures accordingly. This is another reason why innovative companies rely on Onedot's holistic and automated data preparation process. This starts with the procurement of missing data records and subsequently structures the product data in such a way that the most diverse raw data becomes consumable data that can be further used. In this way, online retailers can, for example, quickly expand the product range, ensure the consistency of the product data and noticeably increase the findability of the products on the internet.
Only those who have implemented the right data structure can generate automated, fast and effective product texts. If you have any questions about data preparation for automated text generation, we will be happy to advise you together with our solutions partners Awantego and AX Semantics. Book a non-binding and personal demo - we look forward to hearing from you.
