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Growth Driven
By working with a central framework instead of crafting each piece of text separately, the process of generating and refreshing content can be scaled up and potentially automated. This approach enables the production or modification of myriad product narratives, inclusive of diverse specifics and across various languages, through centralized commands.
We're not merely discussing a modest 5% decrease in expenses; we're envisioning a transformative shift in the multilingual generation of extensive texts, amounting to an astounding 95% reduction in costs.
You put in translation and technical expertise once, you get thousands of product texts out.
Your translation workflow is seamlessly integrated, ensuring that any modifications in the original language are instantly reflected across all other languages.
Moreover, you can centrally administer updates related to product attributes or market dynamics, and efficiently deploy these changes across numerous product descriptions in all your languages.
You will work with a 100% SaaS (Software as a Service) solution. It is therefore available without setup and can be used directly by your writing team. No prior programming or ML engineering is required. This makes it independent of your organizational situation and of course you don't have to spend a cent on setup.
You can start small and book more and more modularly based on your needs - up to millions of products
Just imagine you can easily keep all your product descriptions up to date and it costs nothing extra?
Make central adjustments with AX Semantics and update all your product descriptions for free!
Simply transfer the texts with the correct formatting from the AX NLG Cloud to your shopsystem or transfer data from your PIM to the AX NLG Cloud via numerous interfaces.
Data connection, interpretation, text configuration - you can operate all parts of the AX Semantics NLG Cloud as a copywriter. This allows you to use the full text and technical expertise. Of course, you will need a little training - but we have an excellent support team and an amazing tutorial.
GPT and DeepL integrations are solved in such a way that you don't need any prompt engineering. Translators have an environment developed specifically for this role.
Benefits
A win for your time and your nerves
"With AX Semantics, we can map what we did internally with a lot of Excel and a lot of additional work in an automated process, which of course scales completely differently."
Translation costs reduced
"We now only have to translate each statement once right now and it is automatically played out on each product. Yes, a big advantage."
Translation costs reduced
"When translating with DeepL, we were no longer able to change the formatting. Everything we translated with AX had highlighting such as bold text and subheadings, and the presentation automatically adapted to the predefined design. It was great that we were able to measure more interaction in 50% of the texts."
Control of results
"AX Semantics gives us control. We want to have control over the narrative. Data-to-text automation meets this requirement."
Control of results
"You have data points attached to all products and from these you can create exactly the texts you want. Pick up the attributes that you want. That is precisely the advantage of rule-based data-to-text systems. You get exactly what you want to say. Not what the AI wants to say or thinks."
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Always up-to-date texts - automated.
"Text work is work in progress. We've already tweaked the texts a bit and published a second version two months later based on fresh data. That's the cool thing about it. Once you've set it up, the effort required to update it is marginal."
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Always up-to-date texts - automated.
'We have a system where every text from every category is regenerated. If there are changes in the data or product updates, a new text is created automatically."
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Always up-to-date texts - automated.
"If we change data, for example, let's say the article is no longer only applicable to the eyes, but to the entire face, then the system notices this and the new texts are added. It really is the case that the texts are always up to date."
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