Use Analytics to Prevent Costly Product Returns
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The document discusses the challenges of managing online retail returns, highlighting the $26 billion issue faced by U.S. retailers due to customer expectations and lost revenue. It presents a solution that involves automated data collection and advanced analytics to improve the return process and enhance customer experience. ReturnLogic offers a plug-and-play analytics product that requires minimal IT involvement and aims to implement solutions rapidly.
Use Analytics to Prevent Costly Product Returns
- 2. U.S. Online Retail Returns $26B Headache
- 4. Difficult to Avoid Customer Expectations
- 5. Always Costly Increased Churn, Lost Revenue
- 6. We have looked at your business
- 7. Today we show you how to prevent costly product returns…
- 8. …and improve your bottom line
- 9. The Problem The Solution Our Product
- 11. Business managers are not necessarily data scientists
- 12. There is only so much you can do with an Excel pivot table
- 13. Yet you are tasked to solve one of the most difficult problems facing retail today…
- 14. …preserving the customer experience
- 18. Notify the team
- 20. The result?
- 21. Happy customers
- 23. How can we help?
- 26. Real time trend detection Monitor Customizable Thresholds Notifications
- 27. Corrective Insights that solve the problem
- 28. Let’s summarize
- 29. Data science is hard Automate your tools Plug-and-play analytics Problem Solution Our Product
- 30. How is Return Logic different?
- 31. Minimal IT involvement Automatic benchmarking Implementation in days Matrix organization ready
- 33. What’s next?
- 36. So are we!