60%
Reduction in Product Upload Time
40%
Improvement in Product Discoverability
60 Days
To deliver import-ready taxonomy
Service
Platform
Client Overview
The client was building a large-scale eCommerce marketplace designed to make buying and selling easier for a broad seller base. The business focused on attracting small and mid-sized online sellers by giving them a way to register and sell without heavy commission costs. At the time of engagement, the platform had already onboarded thousands of sellers.
Project Scope
The marketplace needed a structured product classification framework that could support a growing and diverse catalog. The client required a taxonomy that would allow registered sellers to place products in clearly defined categories across different product lines. Alongside the taxonomy, a complete attribute library was needed to maintain consistent product data across the platform and support discoverability, filtering, and checkout.
The scope included:
Key Challenges
Building a taxonomy for a marketplace serving sellers across dozens of unrelated product categories introduced structural complexity that pre-defined templates could not address. The classification system had to be specific enough to support meaningful filtering while remaining broad enough to accommodate product types the client had not yet anticipated.
Key challenges included the following:
Our Approach
SAMM Data assigned a six-member team to the project and organized the work into three sequential stages. The team began with competitive benchmarking across major marketplaces to craft a structural foundation based on established industry standards.
The team reviewed the classification systems of leading marketplace operators — including Amazon, eBay, and Walmart — to identify structural patterns applicable to a multi-vendor environment.
Using this research as a baseline, a complete 4-level hierarchical taxonomy was designed from scratch, organized into main categories, two subcategory tiers, and product-type nodes. Every node was assigned a unique backend code for direct integration with the client's platform.
With the taxonomy approved by the client, the team constructed a three-tier attribute framework. Global attributes — covering product name, brand, manufacturer, price, and condition — were defined as platform-wide fields applicable to every listing.
General attributes such as gender, age group, color, size, and material were scoped to category-level application. Specific attributes (skin type, ingredients, hair type, usage, and similar fields) were built out for individual product types where standard fields were insufficient.
Following taxonomy and attribute finalization, the team transitioned to ongoing catalog operations—managing product uploads for the client's seller base, maintaining up-to-date catalog records, and ensuring every listing was correctly mapped to its taxonomy node and full attribute set.
Results Achieved
Sellers on the platform were able to list products significantly faster, with catalog operations requiring substantially less manual effort per SKU across the board.
A complete hierarchical taxonomy—covering all active product categories—was delivered and ready for platform import within the agreed project timeline.
Improved taxonomy precision reduced mislabeling, improved buyer search relevance, and minimized the catalog correction overhead typically associated with seller onboarding.
Accurate categorization and attribute-based filtering led to measurable gains in buyer navigation speed and checkout completion rates across the platform.
The delivered taxonomy covered the client’s full existing product mix and provided the flexibility to accommodate future seller expansion without requiring a rebuild.
Get In Touch
SAMM Data provides end-to-end product classification services, from product categorization and taxonomy structuring to attribute mapping and data standardization, helping businesses improve listing accuracy, catalog consistency, and product discoverability.
Write to us at info@sammdataservices.com to request a quote.