Zilingo is an online fashion and lifestyle store operating in Thailand, Singapore, and Indonesia. Originally established to assist local fashion retailers in Southeast Asia, it has grown to encompass a diverse range of products and brands, enriching the online shopping landscape.
The platform emphasizes efficient supply chains, aiming to bridge the gap between manufacturers and retailers.
SEO Optimized Product Description
Reduced Manual Efforts & Time
Enhanced Operational Efficency
Efficient Data Management
Consistency in Product Listing
Increased User Engagement & Sales
Zilingo faced the challenge of receiving product information from various sellers in disparate formats. The challenge was further complicated for converting this diverse data into a uniform template involving intricate attribute mapping, color categorization, and the creation of unique product descriptions.
Product Information as per Different Marketplace Format
Standardization
of 10,00,000 words of product descriptions.
Sorting
and categorization of 2,50,000+ images.
Mapping
of over 120,000 attributes using the custom-built tool.
Handling 27,000 SKUs
including the generation of 10,00,000 words, all accomplished within a remarkably efficient timeframe of 3.5 weeks.
Rubick.ai successfully overcame the challenge of standardizing diverse data from multiple sellers by implementing an advanced automation solution. This significantly reduced manual effort and enhanced data accuracy and consistency, improving operational efficiency for the Zilingo online marketplace.
