Versori’s AI-powered solution, embedded within iPaaS, transformed a retailer’s product onboarding process by automating taxonomy mapping with 98% accuracy, reducing onboarding time from 80 days to hours, enabling the integration of thousands of brands, and cutting costs significantly.
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The Challenge: Bottlenecked Product Onboarding
As retailers strive to compete with online marketplaces like Amazon, growing the number and variety of brands they offer is crucial. For one major retailer, onboarding new brands was becoming increasingly difficult. Their product onboarding process was painfully slow and inefficient, taking up to 80 days to integrate a single brand’s product catalogue. Like most retailers, the core issue lay in the complex taxonomy mapping process—a manual, error-prone procedure causing significant operational friction.
As brands went to upload their product catalogue, the workflow was brutal:
• Only 20% of product SKUs passed the initial upload
• Extensive human intervention was required for the remaining 80% of products to ensure correct mappings
• Thousands of nuanced product categories and type descriptions created mapping complexity that required large human support investments
The impact of all these challenges: 70% of mid-market brands were dropping out during onboarding, slowing growth for the retailer. This wasn’t just an operational inconvenience—it was a direct impediment to business growth and revenue generation
Versori's AI-powered solution, embedded within our iPaaS platform, transformed a retailer's product onboarding process...
Versori developed an AI model, embedded in a custom integration that transformed this challenging landscape. Leveraging large language models (LLMs), we created an intelligent system capable of mapping unstructured product data with unprecedented accuracy and speed. Once embedded into our platform and integrated with the retailer’s taxonomy, the product data could be seamlessly absorbed from any third-party source, overcoming the manual bottleneck that had previously plagued the process.
Our solution featured two key technological innovations:
1. Intelligent Data Processing at Speed: The AI could rapidly parse complex, long-form product descriptions, understanding subtle nuances that would traditionally require manual review.
2. Adaptive Mapping Algorithm: Unlike rigid traditional systems, our AI could self-critique and iteratively refine its category mappings, learning and improving with each product processed—especially as the retailer’s taxonomy updated.
The integration, powered by Versori - embedded iPaaS, was designed to work across various product information management systems, commerce platforms, and marketplaces, ensuring maximum flexibility for brands.
The Remarkable Outcome
The results were nothing short of transformative:
• 98% Mapping Accuracy: Our AI-enabled transformer achieved near-perfect product taxonomy alignment
• Onboarding Time Reduced from 80 Days to Hours: What was once a months-long process became a matter of hours
• Scalability Breakthrough: The retailer can now onboard tens of thousands of new brands every month
• Millions in Cost Savings: Dramatic reduction in manual labor and operational expenses
By eliminating the traditional bottlenecks in product data mapping with the power of embedded iPaaS, we didn’t just solve a technical problem—we unlocked a new paradigm of marketplace efficiency.
Looking Forward
This case study highlights the transformative potential of embedded iPaaS solutions in e-commerce and retail integration use cases.
For brands and retailers looking to scale rapidly across multiple marketplaces, AI-powered solutions with embedded iPaaS are no longer a luxury—they’re a strategic imperative.
