Use Analytics to Prevent Costly Product Returns
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Product returns cost US ecommerce companies over $26B last year, and that number is growing due to generous returns policies and increased competition. Unfortunately most retailers are not well equipped to manage the massive returns problem they face because they lack the technology to make data driven decisions. Busy managers often spend 25% of their time aggregating data and searching for trends only to arrive at the answer too late to make an impact. The answer is real time analytics and trend detection. Return Logic provides the tools - real time analytics and returns management software.
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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!