Product Owner, Retresco
Thanks to generative AI, creating high-quality content is easier than ever before. But how can businesses effectively and cost-efficiently create a large volume of compelling, engaging, and unique texts?
The answer lies in Large Scale Content Automation (LSCA), a strategy that combines the latest possibilities in the fields of generative AI and machine learning for text automation.
Large Scale Content Automation is an effective method to automatically generate high-conversion web, SEO and product texts in all their facets and for all desired channels. These considerations are particularly interesting for those wishing to grow and internationalise successfully in e-commerce or a similar growth industry. Large Scale Content Automation differs from other technologies in the realm of generative AI. And there are already companies that successfully pursue this strategic approach.
Discover the diverse possibilities of Large Scale Content Automation and learn how your company can benefit from the use of this technology.
Large Scale Content Automation refers to the use of generative AI to automate content creation in a commercial environment. Combining data-based and dynamic text generation in the Content Automation Platform textengine.io, Hybrid NLG offers a simple method for text creation. In contrast to technologies like OpenAI's GPT models, LSCA users can choose which parts of a text are data-driven and which are dynamically generated, maintaining control over text creation ("Human-in-the-Loop").
The integration of generative AI and machine learning technologies allows Large Scale Content Automation to utilise world knowledge for scalable text generation. This offers users who want to generate and publish large volumes of text the advantage of only having to set up the content creation process once. Compared to large-language model providers like OpenAI or Google, which offer a 1:1 approach with a person in the loop for quality assurance and fact-checking, Large Scale Content Automation offers a more cost-effective and efficient alternative. With the 1:N approach (set up once, use x times), texts can be generated faster and more easily.
Large Scale Content Automation creates text building blocks that are checked, approved, and stored in the text model once, to be automatically reused as often as needed. This approach makes the text creation process easily scalable and enables the production of high-quality and unique content. In addition, companies can take into account their corporate language and rely on generating linguistically and formally flawless as well as compliance-compliant texts.
The main advantage of Large Scale Content Automation lies in the ability to create high-quality and scalable texts without great effort, significantly increasing visibility through organic search rankings. The combination of efficiency, scalability, and quality makes this technology the ideal solution for companies looking to automate and optimise their content workflows for web, SEO and product texts.
LSCA has various applications in e-commerce and beyond, such as:
Product descriptions: Companies can create audience-specific and SEO-optimised product descriptions in large volumes.
Product descriptions for marketplaces: Custom requirements of marketplaces like Amazon and eBay can be met and scalable content produced at any time.
Catalogues: Both for printed materials and for digital documents, automated text creation effectively saves resources and budgets without compromising on content, grammar, and legally flawless texts.
Product FAQs: Creating product-specific FAQs allows targeted answering of customer questions and generates lasting SEO effects.
Product comparisons: By highlighting product attributes, end customers and B2B contacts can be supported in their decision-making process.
Category pages: Automated text creation helps create and maintain category- and subcategory-specific pages for better search engine performance.
Advertisements: Scalable text creation enables fast and channel-specific generation of ads for various online platforms, such as Google, Bing, or the Metaverse.
Meta-Title and -Description: SEO-relevant texts for product detail pages can be easily created and implemented.
Image captions: Automatically generated image captions provide additional context and enhance the accessibility of the page. Furthermore, more SEO-relevant metatags can be created, such as the Alt attribute
Retresco has been supporting businesses worldwide in automating their language-based processes since 2008. Compared to large language model providers like OpenAI and start-ups, Retresco is more than just a service provider or reseller. Retresco consists of a team of experienced experts from the fields of computational linguistics, machine learning, and software development.
Retresco's Hybrid NLG for large-scale content automation is already being used by a variety of well-known companies in e-commerce and beyond:
70% of the texts in the Lyreco webshop and 87% of the texts for the print catalogues are automatically created with the Content Automation Platform textengine.io. Lyreco generates product descriptions in German, English, French, and Italian based on manufacturer data. The automation reduces time and translation costs. Lyreco has recently expanded its partnership with Retresco at the global level, including several Asian markets.
Over 300,000 automatically generated product descriptions are permanently available in the MediaMarkt and Saturn online stores. Since 2019, the company's online shops have relied on scalable text creation with textengine.io. The benefits for the content team (consisting of only one person) are minimal resource deployment and maximum output. Additional information can be found in our case study MediaMarktSaturn Automates Product Descriptions.
An international travel agency was able to increase its website traffic by 23% within just four weeks by using simple templates created with Hybrid NLG and Large Scale Content Automation. The company tested and recorded metrics in the UK, USA, France, Spain, and Brazil with automated texts in the local language. For a global travel platform that helps online users find cheap flights, increased visibility is one of the most important metrics.
OBO Bettermann is a B2B company specialising in the manufacture of electrical installation and connection technology. For OBO Bettermann, it was important that all texts – tenders and product descriptions – were uniformly structured, as they serve as the basis for translations into 26 languages. Based on 250 text models, OBO Bettermann creates more than 25,000 texts per year. More details can be found in our case study Automated Product Texting and Efficient Translation Management Centrally Organised.
For businesses looking to generate and scale AI-generated texts, it will become essential to develop a well-thought-out content strategy with the EU AI Act coming into force from the European Union, to rank well with Google and Co. in the future. Large Scale Content Automation can be used extensively for web, SEO and product texts in this context. With this strategic approach, tens of thousands, even hundreds of thousands, of content, grammatically, and legally flawless texts can be created. Tone and wording can be personalised and adjusted channel- and brand-specific. Human input remains possible at all times.
Generative AI offers impressive possibilities for quick and easy text creation. Large Scale Content Automation takes this a step further, enabling content automation that leaves no stone unturned. This strategy supports companies in automating their texts across channels and in all desired languages.
For questions and further information on Large Scale Content Automation or the simply scalable Content Automation, we are happy to help. Get in touch – our experts will be happy to contact you!