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Sign inE-commerce and Retail Data Integration
Connect e-commerce platforms, ERPs, and marketplaces with your internal systems. Automate order and invoice processing, sync inventory and customer data, and power analytics with Etlworks.
Why it matters: Retail and e-commerce businesses rely on real-time data to manage operations, optimize inventory, and deliver seamless customer experiences. Automated integration eliminates manual work and delays.
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Why Etlworks
Integrate Shopify, Amazon, WooCommerce, and custom e-commerce platforms.
Automate order processing, reconciliation, and fulfillment workflows.
Sync inventory, customer data, and product catalogs with ERPs and databases.
Stream data into BigQuery, Postgres, Snowflake, and more for analytics.
Built-in support for wildcard file processing, CDC, and reverse ETL.
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How E-commerce and Retail Companies Use Etlworks
Staples Canada, a leader in office supplies and business services, relies
on Etlworks to integrate data from SQL Server databases and file-based sources into Google
BigQuery. By leveraging Etlworks’ advanced BigQuery connector with bulk load capabilities,
Staples significantly improved the performance of their data integration pipelines.
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the case study
Cerebelly, a fast-growing direct-to-consumer baby food brand, uses Etlworks
to automate order and invoice processing workflows. By integrating flat files stored in
SharePoint with a Postgres-based backend, Cerebelly ensures accurate, enriched, and timely
reconciliation of critical transactional data.
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the case study
Prymat, a leading food manufacturer in Europe, uses Etlworks to move and
synchronize large volumes of data between on-premise SQL Server databases and Google
BigQuery. By leveraging automatic partitioning and reverse ETL, Prymat has streamlined
analytics and operational reporting across its data stack.
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the case study
Jollyes, one of the largest pet retailers in the UK, uses Etlworks to orchestrate complex ETL workflows across APIs, flat files, and SQL databases. By centralizing data into Snowflake, Jollyes streamlined analytics, reduced manual overhead, and enabled real-time business insights.
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the case study