That’s why we’ve created our latest white paper, AI-Driven Global Expansion, a comprehensive guide offering concrete strategies for overcoming the challenges of AI implementation and scaling.
Understand the limitations of AI at scale
When businesses are handling thousands – or even millions – of product descriptions and marketing assets, scaling up AI solutions becomes crucial. But it’s not always as simple as pressing a button. Here’s a sneak peek at what the white paper covers:
1. Limitations in token count and context size
Large Language Models (LLMs) such as GPT-4 work with a token-based system, where both input and output are measured in tokens. The larger the content and the more context or rules you want the AI to follow, the more tokens are required – and every token counts.
2. Ensuring brand consistency across languages
One of the biggest challenges is maintaining a consistent brand voice when you translate and localise content for different markets. Language-specific nuances, such as handling formal and informal address in languages like German (Sie vs. du), can affect both the tone and accuracy of your content. On top of that, it’s difficult to ensure that AI follows do-not-translate lists and the right tone of voice at scale.
3. Dealing with incomplete or inconsistent translations
At scale, even the best AI tools can sometimes produce incomplete translations or miss subtle cultural nuances. Manually checking these inconsistencies is time-consuming, especially when working with large data sets. You need solutions for this.
Why download the report?
The report dives deeper into these challenges and many more. Whether you’re just getting started with AI or looking to fine-tune your existing processes, this guide is designed to help you:
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Develop strategies to maintain consistency and quality in AI-generated content
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Avoid common pitfalls when scaling AI for global markets
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Explore advanced solutions, such as token management
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Gain insights into different European markets
By tackling these key questions, we help e-commerce businesses scale up their content production without compromising on quality or consistency. All of this is based on our own experience with our AI Translation Hub, where we use and compare over 25 different AI tools across more than 30 languages, including industry favourites such as ChatGPT, DeepL, Watson and Claude.
Ready to take your global strategy to the next level?
