Transform return data into insights that cut costs, reduce return rates, and improve customer satisfaction.
Returns Optimization turns your returns data into actionable insights across operations, product, and customer experience teams. By unifying data from Shopify, ERP, CRM, and analytics tools, you can detect high-risk SKUs, identify serial returners, and calculate the real cost of returns. Designed for fast-growing and maturing ecommerce brands (B2C, D2C, B2B2C), this use case empowers you to reduce avoidable returns, increase post-purchase satisfaction, and save on logistics — all without hiring a data engineering team.
Increased return rates from specific SKUs or product categories
Chronic serial returners quietly hurting profitability and operations
Lack of visibility into true return costs (logistics, restocking, lost revenue)
No systemized approach to identify and prevent avoidable returns
Shopify, ERP, CRM, and even spreadsheets unified in hours with no-code connectors.
Launch return analytics dashboards in <48h using prebuilt templates and transformations.
Flag rising-return SKUs or serial returners before they impact your margins.
No need for a data team – CX, Ops, Product, and Finance get dashboards tailored to them.
[stakeholder] Product & Merchandising
[dashboard] Customer Experience
[finance] Ops & Finance
Unify your marketing, sales, and product data across 700+ sources and open APIs. All your systems, finally working together.
Accelerate delivery and reduce support headaches—Keboola’s MCP streamline integrations, automate data quality, and drive continuous insights, no big teams needed.
Get peace of mind with enterprise-grade controls, compliance, and transparent data lineage—Keboola is built for the highest security and regulatory standards.
You don’t need months to launch. Keboola lets you move fast, iterate faster, and scale when you're ready.
Keboola’s unified platform organizes return data into clear, understandable metrics, allowing you to identify problem areas and implement solutions.
By understanding return reasons, you can improve product listings and better meet customer needs, thereby boosting satisfaction and loyalty.
Absolutely. By identifying and addressing high return products and serial returners, you can prevent unnecessary returns and save on shipping, restocking, and lost revenue costs.