About FluxBridge

FluxBridge PIM is an eCommerce company specializing in a diverse range of consumer products, including electronics, fashion, and home goods.

As year on year it has a growing inventory and expanding sales channels, FluxBridge PIM required an advanced solution to manage product information across multiple platforms efficiently.

We delivered a tailored solution that perfectly aligned with their needs by customizing the product information management system(PIM). The key focus was the level of detail for the product and ensuring that the solution met their specific requirements.

Issues faced

Reporting and Analytics

DAM integration

Manual data entry

Inconsistent product information

Managing product catalog in multichannel

Our Approach

Client Requirement Understanding

We started by deeply understanding FluxBridge’s challenges in managing large volumes of product data across multiple channels. Our focus was to identify inefficiencies like manual data entry, inconsistent product details, and limited reporting capabilities that were slowing down their operations.

Detailed Assessment & Planning

Our team conducted a full assessment of existing data structures, workflows, and system integrations. This helped us map out areas of improvement and set clear objectives for the new PIM solution, ensuring it would scale with FluxBridge’s product growth.

Customization & Configuration

We defined product attributes, data hierarchies, and user roles tailored to the client’s catalogue needs. Custom configurations ensured the PIM could handle various product types — from electronics to fashion — with real‑time updates and greater flexibility.

Data Enrichment Strategy

We developed a structured approach for enriching product data using completeness attributes, smart filters, and product families. This enabled FluxBridge to improve data quality, track progress, and prioritize updates efficiently.

Seamless Deployment & Integration

After finalizing development and testing, we integrated the PIM with existing systems and platforms. This ensured smooth data flow into marketplaces and sales channels, eliminating silos and reducing manual workload.

Training & Support

To make sure the FluxBridge team could fully leverage the new system, we provided hands‑on training and documentation. This empowered users to manage product information independently and confidently across all modules.

The challenge

Managing Product Data Across Multiple Channels

FluxBridge was expanding rapidly with multiple sales channels, which made it challenging to maintain consistent and accurate product information across platforms.

Inconsistent & Incomplete Product Information

Due to manual processes, product details were often incomplete or inconsistent, affecting customer experience and internal operations.

Manual Data Entry & High Operational Effort

The team spent a significant amount of time manually entering and updating product data, leading to inefficiencies and risk of human error.

Lack of Advanced Reporting & Analytics

FluxBridge needed deeper visibility into product performance, completeness status, and marketplace readiness to make informed business decisions.

DAM Integration & Asset Management

Handling large volumes of media files like product images and videos required a more structured and performance-optimized solution.

Scalability & Performance Challenges

With continuously increasing SKUs and expanding channels, the system needed to remain fast, scalable, and reliable without performance drops.

SWOT Analysis

Strengths

Centralized data management

Automation on data entry

Weakness

Complexity

Training and understanding

Opportunities

Sustainability trends

Growing ecommerce market

Threats

Technological changes

Market competition

Features of a FluxBridge PIM

1. Organize data in different groups

To effectively manage various data points for products, organize them into groups as example:
- Basic Information Group: Includes essential details such as brand, description, and price.
- Rich Information Group: Contains additional details like color, gallery options, and product type.
- Logistic Info Group: Covers logistical aspects such as stock, date, and availability.

When viewing a product, you’ll see an attribute section divided into these three groups: Basic Info, Rich Information, and Logistic Info. This structure helps keep product data organized and easily accessible.

2. Add filters

You can add multiple filters to streamline product management. One filter allows you to view products with 100% completed basic information, as shown in the image. Another filter helps identify products with incomplete information, so you can easily track what needs to be updated and which product details still need to be completed.

3. Smart list

You can save the filters in a Smart List. This allows you to track your to-do list by showing products with incomplete information that you need to update, as well as products with completed information. This way, you can efficiently manage and prioritize tasks related to product data.

4. Track progress using completeness attributes

To manage product information effectively, follow these steps:
- Go to Settings and create an attribute named “Completeness.”
- Merge this “Completeness” attribute with the product groups you’ve created.
- Create additional attributes for other groups in the same way, such as “Basic Information.”
- Repeat this process for two more attributes relevant to your other groups.
- Edit the group settings under Settings, selecting the “Completeness” attribute for the specific group.

This setup will help you track which product details are missing and the percentage of information that still needs to be completed. Additionally, it will add filters to simplify the management of product information

5. Creating different product families

Creating product families helps categorize items in the fashion industry, such as dresses, shirts, and trousers, making it easier to identify whether they are for boys, girls, men, or women. For example, an accessories family might include watches and shoes. This system streamlines organizing and understanding different types of wearables.

Strategic solutions

High performance database architecture
- Indexing: Removing duplicate existing values while searching it also speeds up the performance and the speed.
- Query optimization: query optimization techniques to improve the speed of data retrieval
Advance data search and filtering
- Use of elastic search will help in improving the filtering capabilities when we are dealing with large amounts of product information.

User friendly UI/UX
- Allowing customers to manage their workspace and also providing drag and drop features for product catalog which can be easy for non-tech users.
CDN integration for digital assets
- Store and distribute images, videos, and other media assets via a Content Delivery Network (CDN) to ensure fast loading times globally