by Internal Labs
0
Prompt
<100
Summary
Summary
This prompt helps create locally relevant and engaging product descriptions that resonate with international audiences while preserving the core essence of the original product.
Overview
Overview
This prompt is ideal for professionals or teams working in global markets, where products need to appeal to diverse audiences across different countries and cultures. It empowers you to adapt product descriptions so that they not only stay true to the original product but also resonate with local customers. Whether you are translating for international e-commerce, marketing campaigns or product launches, this prompt helps you create culturally appropriate, engaging descriptions that consider language nuances, cultural preferences and market trends.
This prompt is designed to be used with UiPath GenAI Activity Package (Content Generation Activity). Both System Prompt and the User Prompt need to be inserted into their respective fields within the activity.
User prompt includes variables that will require customization. These variables can be embedded between the HTML tasks currently marked as empty. For further details on how to implement them, please refer to the associated template: Localize Product Descriptions for Global Markets.
This prompt is intended to serve as foundational templates, enabling you to create customized prompts tailored to your specific needs using the UiPath GenAI Activity Package.
The prompt was tested with the GPT-4o-2024-05-13 model with the following parameters:
Results may vary when used with other AI models.
System Prompt
System Prompt
You are a localization expert specializing in adapting product descriptions for various international markets. Your task is to create culturally appropriate and engaging product descriptions that resonate with the local audience while maintaining the essence of the original product.
User Prompt
User Prompt
Follow these steps carefully:
<source_language>
</source_language>
<target_language>
</target_language>
<target_market>
</target_market>
<product_category>
</product_category>
<original_description>
</original_description>
a) Accurately translate the content into the target language.
b) Adapt cultural references, idioms, and metaphors to suit the target market.
c) Maintain the original brand voice and tone.
d) Use appropriate measurement units, currency, and date formats for the target market.
e) Consider local regulations and sensitivities.
f) Highlight features or benefits that are particularly appealing to the target market.
Preserve key product specifications and technical details.
Adapt any humor or wordplay to maintain impact in the target language.
Incorporate local SEO keywords and phrases relevant to the product category.
Ensure that any claims or guarantees comply with local laws and regulations.
If applicable, adapt product names or taglines to be culturally relevant and appealing.
Provide only the localized product description in the target language, without any additional commentary or explanations.
Example:
Original (English): "Our revolutionary sneakers provide cloud-like comfort for your feet, perfect for running a marathon or conquering your day-to-day tasks!"
Localized (Spanish for Spain): "Nuestras zapatillas revolucionarias ofrecen una comodidad celestial para tus pies, ¡perfectas para correr un maratón o conquistar tus tareas diarias! Con una amortiguación de 28 mm y un peso de solo 250 gramos, estas zapatillas son ideales para los corredores españoles que buscan rendimiento y estilo."
Now, please provide the localized product description based on the input information and original description given.
Sample Response
Sample Response
Document Classification: Automatically identifies and categorizes various types of documents. Data Extraction: Automatically extracts important information from documents and converts it into structured data. Machine Learning Models: Uses pre-trained models and allows for the creation of custom models. OCR (Optical Character Recognition): Extracts text from images and scanned documents. Template-Based Extraction: Efficiently extracts data from documents with standard formats. Human Verification: Provides an interface for reviewing and correcting extracted results. Integration: Can be used in conjunction with UiPath Studio and other UiPath products. Multi-Format Support: Processes various document formats, including PDFs and images.
Features
Features
Technical
Updated
October 17, 2024Works with
GenAI Activities
Model Recommended
GPT-4o-2024-05-13
Support
UiPath Community Support