Supplier: Enhance your data management and delivery with the Conversion Hub

Step-by-step guide for suppliers using Conversion Hub

To help suppliers fully understand and utilize Conversion Hub, this step-by-step guide provides detailed insights into each stage of the process, ensuring clarity and thorough comprehension.

1. Define your desired product data structure

The first step in using Conversion Hub involves defining your desired product data structure in the Data Processor. This encompasses all necessary data, from images to technical information. The system allows you to create a universal structure that applies to all your products or customize structures for specific product types or groups. This flexibility ensures that your data structure aligns perfectly with your business needs. The structure can be modified and refined over time as your product range and data requirements evolve.

2. Bring in your data in a desired way

Once your product data structure is defined, the next step is to import your existing data into the Data Processor. Conversion Hub offers multiple methods for data importation:

• Existing system integration: If you already use systems like ERP (Enterprise Resource Planning) or PIM (Product Information Management), you can integrate these with Conversion Hub to import your existing product data seamlessly.
• Bulk import via Excel: For large volumes of data, you can use Excel files to bulk import data through the Import module. This method is efficient and minimizes manual data entry.
• Manual data entry: If you prefer, you can manually input product data directly into the Data Processor. This option is useful for managing smaller datasets or making specific adjustments.

These options provide flexibility, allowing you to choose the most efficient way to bring your data into the system.

3. Manage and process all data in a single location

After importing your data, you can manage and process it centrally within the Conversion Hub. This centralized management system streamlines data handling, ensuring that all your product information is maintained in one accessible location. The Data Processor allows you to view, edit, and update data as needed, providing tools for overviews, statistics, dashboards, and artificial intelligence (AI) to work effectively and extract meaningful insights. This centralized approach simplifies data management and enhances data integrity.

4. Receive product data requirements from retailers and datapools automatically

The next step involves receiving the specific product data requirements from retailers and datapools. Conversion Hub’s Data Mapper automatically transfers the required data structures from these stakeholders to your system. This ensures that you are always aligned with the data needs of your retail partners and datapools, facilitating seamless data exchange and compliance with their requirements.

5. Comply with product data standards

Many retailers and product datapools prefer using standardized product data formats such as ETIM and GS1. Conversion Hub supports these standards, automatically transferring them to the Data Mapper as required. This ensures that your product data is always compliant with industry standards, enhancing consistency and reliability.

6. Required structures flow to your system in multiple ways via Data Mapper

Retailers on the Conversion Hub platform define their product data structure in the Data Mapper according to their needs.

For retailers not using Conversion Hub, Pimmix will define the product data structure based on existing master data collection methods.

Additionally, product data structures from datapools like Finnish ETIM based datapools Sähkönumerot, LVI-Info, Rakennustieto, and GS1 based Synkka are automatically imported into the Data Mapper. This comprehensive approach ensures that your system receives all necessary data structures in the correct format, regardless of the source.

7. Review requirements and data structures of your stakeholders

The Data Converter allows you to review the data structures required by retailers and datapools alongside your own product data. This step is crucial for ensuring that your data aligns with stakeholder requirements. By visualizing the necessary data structures, you can make informed adjustments to ensure compatibility and completeness.

8. Connect your data to stakeholder demands

Once the required data structures are in your system, the next step is to map your product data to these structures using the Data Converter. This conversion process is performed once, ensuring that your data consistently matches the formats and requirements of your stakeholders. This step eliminates manual data mapping efforts and enhances data accuracy.

9. Deliver your data in the desired structure and format

Finally, deliver your data in the required structure and format to multiple channels:

• Automatic transfers for retailers on Conversion Hub: Data is automatically transferred in the desired format (e.g., API, XML, JSON, BMEcat) and updates as frequently as needed. This covers new products, existing products, discontinued products, and updates.
• Traditional methods for other retailers: For retailers not on Conversion Hub, product data is sent via traditional methods, such as Excel, allowing flexibility in data delivery.
• Datapool integration: Your product data will also be transferred to datapools in the required format, ensuring regular updates and data consistency.
• Stakeholder sharing: Additionally, you can share your data with independent retailers and other stakeholders, even if they do not follow a structured data collection procedure.

Benefits for suppliers using Conversion Hub

Utilizing Conversion Hub provides numerous advantages specifically tailored to suppliers. By consolidating and managing all your product data in one efficient platform, you can significantly enhance data quality, ensure compliance with industry standards, and streamline your operations. This section explores the key benefits that Conversion Hub offers to suppliers, highlighting how it can transform your data management practices and support your business growth.

Key benefits are:

• Centralized data management: Manage all product data in one place, eliminating the need to handle multiple files and formats.
• Customized data structures: Tailor data structures to meet your specific business needs and comply with industry standards.
• Enhanced data quality: Improve data quality and consistency, reducing manual errors.
• Operational efficiency: Streamline data management processes, freeing up time for strategic initiatives.
• Compliance and updates: Ensure compliance with ongoing updated product data standards and demands.
• Better data insights: Utilize data overviews, statistics, and dashboards plus AI technologies for better decision-making through enhanced efficiency.
• Seamless data sharing: Efficiently share data with multiple channels, ensuring accuracy and timeliness with a press of a button.

Should you invest in Conversion Hub?

Conversion Hub offers a robust solution for suppliers to manage, map, and convert, and deliver product data across various structures and formats, ensuring consistency and reliability. By automating data processes, suppliers can significantly reduce manual errors, increase productivity, and focus on strategic growth, ensuring a significant and quick return on investment.