Product Data Standardization & Management for Electronics Retailer

39%

Increase in Site Search Conversions

41%

Improvement in Overall Marketing ROI

99.1%

Data Accuracy Achieved

Service

Product Data Management
Data Cleansing
Data Standardization
Product Data Enrichment

Client Overview

eCommerce Retailer Specializing in Consumer Electronics

Our client operates a large-scale online store specializing in consumer electronics, supported by a retail storefront. With over 1.3 million products across categories, including smart kitchen appliances, televisions, audio devices, home surveillance systems, telephones, batteries, and power accessories, the client has managed its eCommerce business for more than 7 years.

Project Objectives & Scope

Product Data Management & Standardization for a Large-Scale Catalog

The client faced significant challenges in managing their expanding product catalog. Issues such as missing or inaccurate product information and inconsistent data across their listings were hampering their ability to merchandise products effectively, manage pricing, launch promotions, and scale their eCommerce business.

To resolve these pain points, the client required us to:

Organize products into appropriate categories.
Standardize product attributes.
Audit and fix discrepancies in descriptions, promotional information, pricing, and discounts.
Maintain consistent formatting in catalog data.

Project Challenges

Managing a 1.3M Product Catalog with Data Gaps and Inconsistencies

Handling a large catalog filled with product data discrepancies presented significant challenges, including:

Manual Audit & Correction of Inaccurate Categorization and Attributes

Numerous products had been broadly classified under a “General” category with only default attributes, rather than being sorted into precise categories relevant to their specifications.
For a substantial segment of the catalog, many attribute fields remained disabled, preventing display of meaningful product data.

Impact on Merchandising Due to Data Inconsistencies

Product misclassification and gaps or inconsistencies in catalog data created significant challenges for merchandising efforts.
Issues such as inaccurate taxonomy terms, color selections, and other textual information limited the use of guided navigation and attribute-based filtering (e.g., by color or price).

Requirement of Subject Matter Experts

Professionals familiar with the client’s extensive product line were needed for reorganizing product taxonomy and correcting attribute assignments.
These specialists were also responsible for identifying data gaps and inaccuracies.

Our Solution

Complete eCommerce Data Management: Cleansing, Standardization, Categorization, and Enrichment

A 10-member team of eCommerce experts was onboarded. The client provided initial training on product terminology, their data management platform, data entry protocols, and attribution rules. Post-training, we delivered the following solutions:

Product Data Cleansing

Our team performed these key actions to analyze data discrepancies and cleanse the product database:

Identifying and removing duplicate entries using product data-matching techniques
Correcting spelling errors, formatting inconsistencies, and inaccurate product details

Product Data Standardization

We ensured consistency across the client’s product catalog by standardizing all data components. The following tasks were completed to achieve this:

Consolidated all product listing data within the client's system—including titles, descriptions, measurement units, numerical data, terminology, and abbreviations—for uniformity across the catalog.
Standardize spellings, numerical data, terminology, and abbreviations across the entries, e.g., unifying "colour," "color," and "clr" to "color" consistently throughout the website and catalog.

Product Sorting and Categorization

After designing a structured taxonomy to arrange products into logical parent, child, and sub-category levels, our team executed the following tasks:

Classified product data accurately and standardized Universal Product Codes (UPCs) to facilitate a seamless workflow between manufacturers, suppliers, and retailers.
Sorted products individually and assigned the correct attributes to enhance discoverability on the storefront.

Product Data Enrichment

We filled critical data gaps in the client's database to ensure that complete product specifications are listed on the client's website. Key actions included:

Assigned dedicated specialists to extract missing product details from supplier catalogs and manufacturer websites.
Updated the client's database with accurate, comprehensive information for all product listings.
Ensured all website listings display the updated, reliable product specifications for customers.

Project Outcomes

Result Achieved: Enhanced Conversions and Data Accuracy

Through our data management and standardization efforts, we achieved the following results for the client:

39% Rise in Site Conversions

Accurate taxonomy and categorization boosted search effectiveness, user experience, and product visibility.

41% Improvement in Overall Marketing ROI

Unified, accurate product data across the site enhanced promotional outcomes.

99.1% Average Data Accuracy

The full 1,300,000-item catalog was cleansed, matched, and standardized within established deadlines.

Achieved 39% Higher Conversions and 41% Improvement in Marketing ROI Through eCommerce Data Standardization and Management Services.