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Anna Mrynska
Written by
Anna Mrynska
Business Analyst at Gepard
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PIM software product content syndication

5 Key Features Of Product Data Syndication Platform

6 min read
Published: December 1, 2023
Updated: December 6, 2023

Leveraging a PIM tool is key in modern business, especially for effective product data syndication. This crucial tool aids in reaching broader audiences and boosting market presence through efficient data distribution. Let’s delve into five vital features that make a syndication platform effective, and find out how they enhance data management and business operations.

What is a Product Data Syndication Platform?

A product data syndication platform is a solution used to manage and distribute product content across online marketplaces, retailers, eCommerce websites, and other sales channels, ensuring the data complies with each of their ever-changing rules and requirements. The advanced PIM tools usually come with a product data syndication feature.

5 Key Features in Product Data Syndication Platform

Selecting the right product data syndication platform is pivotal for effective data management and distribution. The key features of such software, essential for streamlining operations and enhancing data accuracy, are outlined in our upcoming list, highlighting how they can significantly impact your product data’s reach and effectiveness.

#1. Data Centralization

Data centralization is a crucial feature of any effective product data syndication platform. By centralizing data, businesses can consolidate product information from various sources into a single repository. Data centralization is at the core of a Gepard PIM tool: this feature significantly streamlines data storage, updates, and distribution processes.

For example, a retailer managing product data from multiple suppliers can use a centralized system to automatically update inventory levels, prices, and product descriptions across all channels. This ensures that all stakeholders access the most current information and greatly reduces the risk of discrepancies and errors.

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In practice, centralization leads to more consistent and accurate product data, enhancing customer trust and improving decision-making processes. For instance, with centralized data, a marketing team can readily access up-to-date product features and campaign specifications, ensuring that all promotional materials reflect the latest information. This cohesive approach to data management is instrumental in maintaining data quality, supporting effective marketing strategies, and ultimately driving sales.

#2. Data Mapping and Transformation

Data mapping and transformation are key features in product data syndication platforms, essential for adapting product data across diverse channels and formats. These features enable businesses to seamlessly convert and align their product information with the unique requirements of various platforms, ensuring consistency and compatibility.

For example, a business might use data mapping to align its internal product categorization with the different category structures of various eCommerce sites. This ensures that products appear in the correct categories across all platforms, improving visibility and customer reach.

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Gepard AI Mapping, in particular, offers advanced capabilities in this area. It utilizes AI to automate and streamline the mapping process, significantly reducing manual effort and the potential for errors. This AI-driven approach ensures that data is accurately transformed and mapped to the specific needs of each channel, enhancing the efficiency of the syndication process.

The versatility offered by data mapping and transformation tools like Gepard AI Mapping not only saves time but also ensures that product data is consistently presented, regardless of the channel, thereby enhancing customer experience and trust.

#3. Automation and Workflow Management

Automation in product data syndication, particularly in platforms like the Gepard PIM tool, offers significant advantages for eCommerce businesses. It addresses the challenges of managing complex product information, which becomes increasingly cumbersome as the number of SKUs grows. Automated workflows in a PIM system can efficiently collect and enrich product data, and then publish it across various channels, including third-party marketplaces like Amazon, eBay, and others.

This automation accelerates the time-to-market for products in multi-channel sales environments. With PIM, onboarding and selling products become substantially faster, shortening the cycle and utilizing fewer internal resources. Furthermore, automation enhances employee collaboration and satisfaction by streamlining processes. Employees can focus on critical tasks that require human expertise, while the PIM system efficiently manages routine data updates and distribution.

For instance, the Gepard PIM tool can automate the update of product descriptions across multiple online platforms. This not only ensures consistency and accuracy of product information but also significantly reduces the time and effort required to update each platform manually. By automating these processes, companies can more effectively manage their product data, leading to quicker product launches and more efficient use of human resources.

#4. Real-Time Data Updates

In the dynamic world of eCommerce, how significant are real-time data updates? In today’s fast-paced business environment, updating product data instantly is not just beneficial but essential. These updates dramatically enhance data accuracy and customer experience, directly influencing sales.

Take real-time inventory management as an example. Customers experience frustration when items added to their cart are out of stock at checkout. Real-time updates eliminate this issue, ensuring a seamless shopping experience. Similarly, real-time analysis of customer behavior during the purchase process offers insights for optimizing the purchase journey and increasing conversion rates. The catalog management module of the Gepard PIM tool is a great example of how the solution can help you easily keep your product data like prices and stock availability accurate and updated.

Real-time data also enables personalized recommendations. By analyzing current customer preferences and browsing history, businesses can offer tailored suggestions, aiding in customer retention and creating upselling opportunities​.

Furthermore, personalized promotions based on real-time customer data analysis play a vital role. These promotions, including exclusive discounts and time-sensitive offers, not only encourage purchases but also help combat cart abandonment by re-engaging customers with attractive incentives​.

Real-time data updates in product data syndication platforms are critical in eCommerce. They ensure data accuracy, enrich customer experiences, and are instrumental in driving increased sales and fostering customer loyalty.
Sergey Shvets
Sergii Shvets
Founder & CEO at Gepard

#5. Data Quality Control and Validation

With the increasing reliance on accurate product information, the significance of quality control and validation features in data syndication platforms cannot be overstated.

High-quality data is crucial for making informed business decisions, from launching new products to overhauling retail websites. A recent study by Experian highlights that 57% of business owners prioritize improving their business’s data quality, signifying its importance above other aspects of data management. Effective data quality control ensures that the product information shared across eCommerce platforms is accurate, complete, and timely, directly contributing to increased revenue and customer trust.

A small mistake in a product’s pricing due to poor data quality can lead to significant revenue loss or customer dissatisfaction. Data validation checks ensure pricing accuracy before data is syndicated to sales channels, avoiding such costly mistakes. Another example is inventory management. Incorrect stock levels can lead to overselling, resulting in unfulfillable orders and frustrated customers.

Implementing data validation checks is essential in maintaining high-quality product data and avoiding costly mistakes. For example, the Gepard data validation tool provides a robust system for ensuring data accuracy. It can automatically verify product information against predefined standards, significantly reducing the likelihood of errors that could lead to customer dissatisfaction or compliance issues.

In practice, this means that an eCommerce business can confidently distribute product data across various channels, knowing the information is correct and up-to-date. This level of accuracy not only prevents costly errors but also strengthens customer trust, as consumers are more likely to return to a platform that consistently provides reliable and accurate product information.

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Gepard Syndication for Migros: Conquering the Market

In the competitive landscape of modern eCommerce, data management and syndication are not just operational tasks but crucial elements of strategic market dominance. This truth is vividly seen in the collaboration between Migros, Switzerland’s largest supermarket chain, and Gepard, a leader in product data syndication. This partnership offers a compelling case study of how targeted technological solutions can drive eCommerce success.

Migros, a century-old retail giant, ventured into eCommerce to extend its market dominance. The challenge was integrating product descriptions from Icecat and Xplace content providers into Migros’ unique product structure. The goal was seamless, automated data updates tailored to Migros’ format.

Gepard’s centralized platform enabled easy importation of product content from various sources. Imported data was transformed to align with Migros’ taxonomy and was available for management in different languages. Eventually, Migros’ time-to-market was significantly reduced, enhancing customer experience and reinforcing its market leadership.

The success of Migros in its eCommerce venture with Gepard PIM was driven by several key features of the system:

  • Automated data integration: Gepard PIM streamlined the consolidation of product data from multiple sources like Icecat and Xplace, reducing manual effort and error potential.
  • Customizable data transformation: The system transformed supplier data to fit Migros’ unique product taxonomy, ensuring consistency and accuracy in product management.
  • Real-time data updates: This feature kept Migros’ product information current across all platforms, enhancing data integrity and customer trust.
  • Scalability and flexibility: Gepard PIM’s adaptable architecture supported Migros’ evolving data volume and business needs.
  • Multi-language support: The system’s capability to handle multiple languages was crucial for reaching Switzerland’s diverse customer base.

These functionalities of Gepard PIM were instrumental in overcoming Migros’ eCommerce challenges, leading to improved data management, faster market responsiveness, and a better online customer experience.

Advancing Your eCommerce With Superior Product Data Syndication Tools

Choosing the right PIM tool is crucial in the dynamic eCommerce landscape. A product data syndication platform that integrates vital features such as data centralization, mapping and transformation, efficient automation, real-time updates, and robust quality control is essential to remain competitive.

Gepard PIM stands out as a comprehensive solution, offering these indispensable capabilities and more. Consider leveraging Gepard PIM to enhance your product data syndication strategy. Feel free to reach out and discover how it can transform your business.

Anna Mrynska
Written by Anna Mrynska
Business Analyst at Gepard
Seasoned and dedicated expert with over 8 years of experience in IT across business domains. Has a proven track record of understanding and translating customer ideas and requirements into actionable project plans.

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