in GMV last year (2023).
SKUs offered online.
A global retail corporation that sells a wide range of products, including groceries, electronics, clothing, and home goods
"Onboarding merchant catalogues was taking 80+ days. Just 20% of SKUs are accepted first time & 70% of merchants dropped [during the process]."
Mapping product data to the retailer's 10K+ field taxonomy took months for large catalogues. Merchant's decisions as to which catalogue or type a SKU belonged to created errors.
Versori's AI transformer mapped the retailer's taxonomy to other taxonomies, allowing product data to be transformed from other sources with 98%+ accuracy in minutes even for large catalogues.
70% of merchants were abandoning the onboarding process due to difficulties mapping their data to the retailer's taxonomy.
While Versori's AI handled the mappings, its custom workflow offered safeguards through both the UI and integration service to address API limits, errors, or incorrect usage by merchants. This minimised drop-offs and ensured a seamless experience, even in case of issues.
The retailer's in-house tech team had been working on the project for over a year, but due to competing priorities, it was still overdue.
Versori offers both the platform and the expertise, without excessive professional service fees. In just 4 weeks, we had the integration built, tested, and ready for full-scale deployment.
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Versori's team customised an AI model specifically for the retailer's unique taxonomy (the system or structure they use to categorise products).
By fine-tuning the model, they were able to achieve 98% accuracy in mapping product data correctly to the retailer’s categories, ensuring that the product information was organised and classified correctly with minimal errors.
After onboarding the API using our Connector Engine, we ingested the product data from the 3rd party source.
Product information from external sources (e.g merchant catalogues or supplier databases) is brought into the platform to be processed, mapped, and stored.
Versori then handled the upload to the retailer's marketplace, managing API rate limits throughout the process.
Ensuring a smooth and straightforward experience for merchants was essential.
Versori implemented the integration with a custom UI, delivering a seamless and intuitive process.
Product data is often messy, causing issues during uploads or transformations.
Versori provided a full suite of monitoring to catch these use-case specific errors.
Onboarding was reduced from 80 days to hours, enabling the integration of thousands of brands, and cutting costs significantly.
Onboarding a brand’s product catalog to a new marketplace is typically slow and error-prone, but with generative AI, this process is being revolutionised.
Shopify is moving from REST to the more efficient GraphQL API, urging developers to migrate for precise data fetching, reduced overhead, and advanced e-commerce capabilities.
Shopify’s shift to GraphQL poses integration challenges, but Versori offers swift, cost-effective solutions for seamless, low-disruption migration.