Introduction to 상품명 생성기

상품명 생성기 is a specialized tool designed to generate unique and optimized product names for e-commerce and marketing purposes. Its core functionality revolves around analyzing input data, such as keywords, and processing them to create well-structured product names that align with specific marketing needs. The tool is particularly useful in competitive markets, where having a memorable, SEO-friendly, and customer-oriented product name is crucial. By separating keywords into 'front words' (descriptors) and 'back words' (product types), 상품명 생성기 creates diverse product name variations that maintain clarity while standing out. For instance, given keywords like '20대남자점퍼' and '봄남친룩점퍼', the system identifies '점퍼' (jumper) as the back word and '20대', '남자', '봄', '남친룩' as front words, removing duplicates and optimizing the name structure. An example scenario could be a clothing retailer looking to launch a new jacket line. They input keywords such as '오버핏점퍼', '겨울바람막이', and '봄항공잠바'. The tool would identify '점퍼', '바람막이', and '잠바' as the back words, and the front words like '오버핏', '겨울', '봄', '항공', etc., creating product names like '오버핏 겨울 점퍼' or '봄 항공 잠바' for better market appeal. Powered by ChatGPT-4o

Key Functions of 상품명 생성기

  • Keyword Analysis and De-duplication

    Example Example

    If a user uploads an Excel sheet with keywords such as '가죽항공점퍼', '20대남자점퍼', and '봄항공잠바', the tool will analyze these terms, extract common product types ('점퍼', '잠바'), and remove duplicates from the list of descriptors ('가죽', '20대', '남자', '봄', '항공').

    Example Scenario

    This function is helpful for businesses looking to streamline their product naming process by avoiding repetitive terms, ensuring that each product name is unique and optimized for search engines.

  • Front and Back Word Categorization

    Example Example

    Given the keywords '오버핏항공점퍼', '겨울바람막이', and '양면아노락', the system will classify '오버핏', '겨울', and '양면' as front words and '점퍼', '바람막이', and '아노락' as back words. The front words are shuffled and combined with the selected back word for name generation.

    Example Scenario

    An apparel company wants to create product names that reflect both the style and type of clothing. This function helps by dynamically pairing descriptors with product types to create varied and relevant names, such as '오버핏 겨울 항공 점퍼' or '양면 바람막이'.

  • User Customization for Final Naming

    Example Example

    After generating unique combinations, users can choose a back word, such as '바람막이', and the tool will create product names like '가죽 바람막이', '20대 바람막이', or '봄 남자 바람막이'.

    Example Scenario

    A user managing an outdoor gear store may want to emphasize '바람막이' for a windbreaker product line, and with this function, they can ensure the final name always ends with '바람막이'.

  • Length Optimization

    Example Example

    The tool ensures that each generated product name is between 85 and 100 bytes, keeping the length SEO-optimized and user-friendly. For instance, '가죽 항공 점퍼 남자 봄' fits within the specified byte limit, while longer, overly descriptive names are shortened intelligently.

    Example Scenario

    This function is particularly useful for online retailers who need to optimize product names for search engines and online platforms, where character limits are a constraint.

  • Batch Name Generation

    Example Example

    Users can upload a list of keywords and generate up to 10 product names per batch, such as '오버핏 겨울 항공 점퍼', '봄 남친룩 점퍼', '가죽 항공 점퍼' in one go.

    Example Scenario

    A fast-fashion retailer launching multiple product lines at once can use this feature to generate names for an entire collection quickly, maintaining consistency across categories while adding variety.

Ideal Users of 상품명 생성기

  • E-commerce Retailers

    Online retailers, especially those in the fashion, accessories, or electronics sectors, benefit from optimized product names that improve visibility on search engines and marketplaces. They can quickly generate diverse product names that are both creative and practical, helping their listings stand out in crowded markets.

  • Marketing Teams

    Marketing professionals responsible for product branding and positioning will find 상품명 생성기 useful for developing product names that resonate with target audiences while staying aligned with SEO and branding strategies. It helps streamline the naming process while ensuring brand consistency.

  • Small Business Owners

    Small business owners who may not have dedicated marketing or SEO teams can use this tool to easily generate optimized product names, improving their product’s visibility online without needing deep technical expertise.

  • SEO Specialists

    SEO professionals can use this tool to create keyword-rich product names that help improve the search engine rankings of products. The byte-length optimization ensures the names are both concise and impactful for search algorithms.

How to Use 상품명 생성기

  • 1

    Visit yeschat.ai for a free trial without login, no need for ChatGPT Plus.

  • 2

    Upload your product-related Excel file, ensuring it's formatted with product keywords for optimal processing.

  • 3

    Allow the system to automatically extract, categorize, and eliminate duplicate keywords based on the input file.

  • 4

    Select the desired keyword type (e.g., 'outerwear') for customized product names, specifying the ending keyword for uniformity.

  • 5

    Receive a list of optimized product names, tailored to your specific keywords, ensuring uniqueness and SEO optimization.

Frequently Asked Questions about 상품명 생성기

  • How does 상품명 생성기 handle keyword duplication?

    The tool automatically removes duplicate keywords during the analysis process, ensuring only unique and relevant keywords are used in the final product names.

  • Can I choose which keyword to place at the end of the product name?

    Yes, users can specify the final keyword (e.g., 'jacket,' 'coat,' etc.), and the tool will incorporate it into all generated product names for consistency.

  • Does 상품명 생성기 support multiple languages?

    Currently, 상품명 생성기 primarily supports Korean for product name generation, but it can be adapted for other languages based on input file formats and requirements.

  • Is there a file format requirement for uploading keyword data?

    Yes, the system accepts Excel files (.xlsx) containing product keywords for processing. Ensure the data is clean and well-structured for optimal results.

  • Can I generate more than 10 product names at a time?

    The tool generates 10 optimized product names per request, but you can perform multiple iterations with different keyword combinations if needed.