- Revenue
- $15.8M
- Customers
- 1.5K
- Year founded
- 2009
- Funding
- $51.7M
- Team size
- 95
- Growth
- -
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As of July 2026, there are 2 SaaS companies in E-Commerce Data Integration Software. They have combined revenues of $17.5M and employ 111 people. They have raised $51.7M and serve 1.5K customers combined.
E-Commerce Data Integration Software is essential for online retailers seeking to synchronize various data sources, including inventory management, customer information, and sales transactions. This category of software allows businesses to streamline operations by providing a unified view of data across disparate systems, enhancing both efficiency and accuracy in data handling. The primary use cases of E-Commerce Data Integration Software include integrating back-office systems like ERP and CRM with e-commerce platforms to ensure seamless data flow. By automating the data exchange between applications, companies can improve task execution such as order processing, stock management, and customer relationship management, ultimately facilitating a more personalized shopping experience for customers. Common buyer personas for this software typically include IT managers, e-commerce specialists, and operations teams who prioritize data coherence in multi-channel retail environments. Additionally, finance departments may also leverage these tools to maintain accurate financial reporting and compliance through consistent data updates from various sales channels.
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Showing 10 of 2 companies ranked by annual revenue.
Belo Horizonte, MG, Brazil
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- The software must facilitate data synchronization between multiple e-commerce platforms and back-end systems. - It should support integration with inventory management, CRM, and ERP systems. - The solution must enable real-time data updates to improve operational efficiency. - It should provide tools for automated order management and tracking. - The product must ensure data accuracy and consistency across different channels. - Not just perform data collection; it must also allow for data transformation and analysis. - The software should offer security features to protect sensitive customer information.