Case Study: Data Entry Excellence for a Leading B2B eCommerce Platform

Case Study: Data Entry Excellence for a Leading B2B eCommerce Platform

Case Study: Data Entry Excellence for a Leading B2B eCommerce Platform

Client Overview

Our client is a pioneering source-to-order platform that transforms the sourcing and ordering of packaging, paper, and operating supplies. As a leading B2B eCommerce website, the platform redefines how businesses find and manage essential supplies. By automating sourcing, managing orders via tailored product catalogs, and integrating with ERP and procurement solutions, the platform enables businesses to operate more efficiently.

Project Objective

The client required an ongoing eCommerce product data entry team to manage their online store catalog. This involved handling approximately 2,000 products initially, with the potential for more as the project progressed. Our responsibilities included:

  • Feature Tagging: Enhancing searchability by accurately tagging product features.
  • Manual Product Uploading: Ensuring correct and up-to-date details for newly added products.
  • Bulk Data Upload: Efficiently managing and uploading large volumes of product data using complex Google Sheets.

Challenges and Solutions

  1. Cross QA by Our Data Entry Specialists
    • Product Naming: We ensured each product name included the Brand Name, Model Name, Product Name, and Specifics, providing clarity and precision.
    • Variant Handling: Managed product variants (e.g., sizes, colors, prices) with meticulous attention to detail, ensuring accurate representation.
    • Data Cleaning Expertise: We excelled in data cleaning during bulk uploads, verifying each value for accuracy and continually improving our methods.
  2. Verification of Standards and Certifications
    • Source Research: We conducted thorough research to verify product standards and certifications, ensuring accuracy in features and descriptions.
  3. Custom Python Scripts for Data Cleaning
    • Efficiency in Bulk Data Handling: Custom Python scripts were developed to clean large datasets, transforming raw data into an upload-ready format. This saved time and ensured data accuracy.
  4. Enhancing Product Images
    • Quality Improvement: We sourced higher-quality images and refined them to align with the website’s theme, enhancing visual appeal.
  5. Converting Messy Descriptions into Clear, Well-Written Text
    • Description Refinement: We transformed disorganized descriptions into clean, professional content, following grammar and punctuation rules for improved readability.
  6. Accurate Product Categorization
    • Category Assignment: Each product was meticulously categorized, ensuring easy navigation for customers.
  7. Highlighting Product Labels and Use Cases
    • Enhanced Product Information: We clearly highlighted product labels and use cases in the “About Product” section for comprehensive customer information.
  8. Sales Units and Packaging Information
    • Detailed Information: We provided detailed sales unit information, helping customers understand exactly what they were purchasing.

Master Data Upload

  • Source File: The client provided a source file containing a large amount of raw data.
  • Data Cleaning: We used Python scripts to clean and process the raw data, ensuring it was formatted and organized correctly for uploading.
  • Upload: The cleaned data was integrated into the master import spreadsheet for final upload, ensuring all relevant information was included and correctly assigned.

Results

  • Data Complexity: Custom Python scripts streamlined the cleaning process, reducing manual effort and increasing efficiency.
  • Variant Management: Careful management of product variants minimized errors, ensuring accurate display and pricing.
  • Image Quality: Sourcing and refining high-quality images improved the visual consistency of the product catalog.
  • Content Clarity: Clear descriptions and proper categorization enhanced user experience, making navigation easier for customers.

Conclusion

Through meticulous attention to detail, custom scripting, and efficient data management, our team successfully supported the client in transforming their B2B eCommerce platform. We managed a large volume of data with a focus on quality, accuracy, and user experience, helping the client maintain a leading edge in the industry.