Blog
July 16, 2022
Unique, meaningful product descriptions tailored to the target audience greatly increase e-commerce growth. After all, people who shop online want to find all relevant information clearly displayed and well described so that they can make a purchase decision.
Writing compelling product descriptions manually is too time-consuming and not scalable in the long run. If the online store is also to be available in several languages, the complexity of text generation increases even further. This is another reason why companies need to find ways to automate text creation for their own online stores.
This is where the AI-powered software from AX Semantics comes in. The AI-powered platform for automated text creation and optimization enables companies to generate large amounts of text with ease. This has a positive effect on text quality and SEO ranking and saves time and money. So what do companies need to do to create automated product descriptions from the raw product data available to them?
Best practice: Successful e-commerce text projects
Inspiring product descriptions, which are to be generated automatically, require optimally prepared product data. Ideally, this data is already available. To verify this conclusively, the implementation experts at Awantego perform a data check. During this phase, they also determine exactly how automated text generation can be implemented to fit the specific use case.
Once the data check has been completed successfully, source texts are created for the online shop. Source texts define, for example, the tone and style of the online shop. In the next step, sentence structures are defined, which are then programmed in ATML. Finally, the texts are finalized and the final, automatically generated texts can then be published live in the online shop in the latest version and with the best descriptions.
But what if the ideal scenario does not occur and the existing product data does not meet the desired quality standards? Most companies face the challenge that, although a large amount of raw product data is available, this data cannot be sufficiently transferred to the individually developed data model despite ERP, PIM, or their own shop system.
Structured product data as a basis for automation
This is why the Onedot product data platform was developed. Thanks to the latest technology and AI support, it enables companies to uniformly prepare and enrich different data formats from a wide variety of suppliers and manufacturers, ensuring that high-quality data is consistently available and always up to date in the desired target system. This also means that more attributes can be transferred to the system, which forms the basis for creating product texts.
Only those who can create complete product data with the right attributes in their own systems have the ability 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 process starts with the procurement of missing data records and then structures the product data in such a way that the most diverse raw data becomes consumable, reusable data. This enables online retailers, for example, to quickly expand their product range, ensure the consistency of product data, and significantly increase the findability of 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, personalized demo—we look forward to hearing from you.