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B2B E-Commerce Product Information Management: Challenges and Solutions|How to Efficiently Manage Hundreds of Thousands of SKUs

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B2B E-Commerce Product Information Management: Challenges and Solutions|How to Efficiently Manage Hundreds of Thousands of SKUs

wholesale

wholesale

Manufacturer

Manufacturer

Improvement in EC sales

Improvement in EC sales

Data Management

Data Management

Compared with BtoC e-commerce, product information management in BtoB e-commerce comes with its own unique complexities. The large number of SKUs, differences in requirements for each business partner, and the management of specialized specification data—how efficiently you handle these factors determines the competitiveness of BtoB e-commerce. In this article, we explain the challenges of product information management in BtoB e-commerce and how to solve them.

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Why BtoB EC Product Information Management Is Difficult

Reason 1: The number of SKUs is enormous

In BtoB EC, it is not unusual to handle tens of thousands to millions of SKUs. The categories are also diverse, including tools, parts, materials, and consumables. Manually managing product information at this scale is not realistic.

Reason 2: Specification information is highly specialized

Industrial parts, chemicals, and electronic components require precise management of specialized specifications such as dimensions, materials, standards, applicable standards (JIS, ISO, etc.), load capacity, and heat resistance temperature. Expertise from the person in charge is required, and typos can directly lead to ordering mistakes.

Reason 3: Required formats differ by trading partner

Product information must be provided in different formats depending on the trading partner—for example, in Excel format for Company A, via EDI integration for Company B, and via API for Company C. The work of converting the same data into multiple formats creates a chronic workload.

Reason 4: Data quality from suppliers varies

When collecting product information from hundreds to thousands of suppliers, the provided formats, amount of information, and accuracy differ from company to company. The cost of organizing data that has not been standardized becomes a major challenge.

Solutions for BtoB EC Product Information Management

Solution 1: Build a centralized product master management foundation

Consolidate dispersed product information into a single platform. The basic approach is to collect information from ERP, core EC systems, Excel, and other sources to build a Single Source of Truth.


Solution 2: Automate data collection

To reduce dependence on suppliers, use the following automated collection methods.

- Web crawling: Automatically collect product information using JAN codes and manufacturer part numbers as keys

- OCR: Automatically extract specifications from PDF catalogs and specification sheets

- EDI integration: Automate data exchange with major suppliers


Solution 3: Dynamically convert output formats

Once the product master is organized, having a mechanism that can automatically convert and output data into each trading partner's format can reduce conversion work to zero. It supports output tailored to different uses, such as for EC, EDI, and catalogs.


Solution 4: Use AI for category classification and specification enrichment

Manually classifying and assigning attributes to huge numbers of SKUs has its limits. By introducing AI-based automatic classification and missing-value supplementation, you can greatly reduce the workload of data organization.


Benefits of Improving Product Information Management in BtoB EC

Issue

Change After Resolution

Product registration takes 20 days

Reduced to 10–14 days (case study results)

High rate of missing specifications

Achieved 99.98% completeness (case study results)

Work required to convert partner formats

Reduced to nearly zero through automatic conversion

Accuracy and consistency of category classification

About 80% automated with AI classification


Summary

Product information management in BtoB EC is more complex than in BtoC due to scale, specialization, and format diversity. However, combining a centralized management foundation, automated collection, dynamic output conversion, and AI utilization can deliver significant efficiency gains.

If you want to improve product information management in BtoB EC, please contact Lazuli.

https://lazuli.ninja/contact/