WEBINAR E-COMMERCE PEAK RETURNS
Solving the Billion-Dollar Returns Problem: Strategies for Retailers
On-demand webinar
Returns have become a costly challenge for retailers, with Gartner identifying them as a "billion-dollar problem." In fact, nShift data shows that returns hit their peak on "Returns Wednesday," the Wednesday following Christmas, when return requests surged by nearly 20% year-over-year. Left unchecked, returns can significantly erode profitability, especially without the right strategies to handle them. How can retailers minimize this financial hit while improving the customer experience?
In this webinar, Andrew Gough will explore how retailers can optimize their returns management process, focusing on transparency and efficiency to reduce costs and prevent stock bottlenecks. We’ll also dive into how businesses can leverage nShift’s checkout solutions to combat returns fraud and identify "toxic return" customers who pose a risk to your bottom line. Ultimately, the goal is to turn the returns process into an opportunity to strengthen customer loyalty and drive revenue retention.
Key Learnings:
- Understand the impact of "Returns Wednesday" and how to prepare for peak return periods with proactive planning and operational efficiency.
- Learn how to use clear communication, convenience, and fast return-to-shelf processes to minimize the financial burden of returns and protect stock availability.
- Discover strategies to identify and mitigate returns fraud, manage high-risk customers, and use data-driven insights to optimize returns policies for long-term profitability.
Register to watch the replay!
Author
Andrew Gough
Delivery & Experience management advisor
With 30+ years in the industry, Andrew Gough is currently DMXM Advisor at nShift, driving seamless delivery management solutions to market. Previously, Andrew held key customer advocacy roles at parcelLab, HelloDone, Narvar, and IBM. Besides being well-experienced in delivery management, Andrew is a passionate writer and TV-presenter of historical conundrums.