K3 Fashion Portfolio has announced an upcoming AI-enabled product description generator in its flagship K3 Fashion solution, further distinguishing the platform’s fashion-focused ERP leadership position. The newest solution leverages AI to revolutionize the management and description of products for fashion brands. By integrating image analysis tools with Microsoft Azure OpenAI, it enhances efficiency and scalability, seamlessly integrating with core webshop and Point of Sale extensions.
K3 Fashion Portfolio unveils AI-driven product description generator for fashion brands.
Leveraging image analysis and Microsoft Azure OpenAI, the tool enhances efficiency and scalability and integrates seamlessly with core webshop and POS extensions.
Kimberly Morgan, chief commercial & operations officer, hails the development as a game-changer for global brands.
The Fashion Portfolio integrates product developers, fashion advisory experts, and the go-to-market teams into one division, fostering enhanced scope, vision, collaboration, and innovation. Its mission is to transform the fashion ERP industry by consistently advancing best-in-class technology solutions tailored to address the distinct challenges encountered by fashion and apparel brands.
K3 Fashion is a concept-to-consumer solution, natively embedded within Microsoft Dynamics 365 Finance, Supply Chain Management and Commerce, designed to optimize inventory and distribution processes. With this new AI tool, fashion brands worldwide can save valuable time by sunsetting manual and laborious tasks while optimizing key business processes.
Product owners and copywriters are often tasked with producing extensive text for each product listing. While such work is critical to ensure consistency and brand relevance, the manual nature lacks efficiency and scale.
The AI-powered product description generator effectively bypasses these challenges allowing product owners and copywriters to devote their time and efforts to more impactful endeavours that enhance the brand.
How the process works:
- Image Analysis: Product images are uploaded into the system before the AI image analysis tool analyzes the images and identifies attributes like style, color, and materials.
- Attribute Definition:Each attribute is tagged with a confidence percentage, ensuring the precision of the information.
- Automatic Description Generation: Based on these attributes, the system generates coherent and detailed product descriptions in multiple languages facilitated by Microsoft’s cognitive services.
- Continuous Improvement: Users can refine the confidence levels and adjust tags to improve accuracy and relevance.
K3 Fashion’s capabilities continue beyond the AI-enabled product descriptions. The integrated system also provides comprehensive back-office capabilities like product data and lifecycle management, essential for maintaining the efficiency of fashion brands.
The decision to start with the AI-enabled product description generator underscores an important sentiment advocated by the Fashion Portfolio: brands need to identify AI’s quick wins starting with manageable, high-impact applications. This allows brands to determine what success is, recognize near-term ROI, and more easily navigate future scale.
The Fashion Portfolio’s extended AI capabilities will introduce AI and Machine Learning-driven label translations within K3 Fashion. This feature empowers users to translate their Microsoft D365 environments into selected languages effortlessly. This offers brands a turnkey route to global expansion, quickly translating product details into new languages to support their international needs.
Speaking on the development, Kimberly Morgan, chief commercial & operations officer, said:
“Expressing my enthusiasm for this new tool is a challenge, as it’s poised to be a game-changer for brands globally, offering them significant time savings. While many talk about AI, few have translated it into practical, real-world applications. Introducing this feature is a thrilling milestone in our product development journey, and it’s just the beginning. Stay tuned for more exciting updates!”
Note: The content of this press release has not been edited by Fibre2Fashion staff.
Fibre2Fashion News Desk (HU)