From data overload to customer value

Opal Portis, VP of Supply Chain at Fabletics, highlights a defining challenge for modern retail: managing and making sense of growing volumes of data.

With the rise of technologies like RFID and increasing regulatory focus on sustainability, supply chain teams now have access to more information than ever before.

The opportunity lies in turning that data into meaningful customer value.

Connecting data across the supply chain

For Portis, the priority is not simply collecting data, but connecting it effectively.

By linking insights across systems and processes, brands can create a more cohesive view of operations — and ultimately deliver a better customer experience.

This requires a shift in mindset, where data is seen as an enabler of communication rather than just a reporting tool.

Every data point as a customer touchpoint

One of the most important takeaways is the idea that every piece of data represents an opportunity to engage with the customer.

Whether it’s tracking, delivery updates, or sustainability information, each interaction shapes the overall brand experience.

Being intentional about how this data is used can significantly improve both transparency and trust.

Aligning with emerging industry priorities

Portis also points to key themes shaping the industry today, including Gen Z expectations, evolving delivery models, and the growing role of AI.

These trends are driving a need for faster, more responsive, and more personalised supply chain strategies.

Retailers that can align their data strategy with these expectations will be better positioned to compete.

The value of shared industry insight

Events like DELIVER provide a platform for leaders to exchange ideas, learn from peers, and validate their approaches.

For Portis, the ability to both share experiences and gain new perspectives is a critical part of staying ahead in a fast-moving industry.

Key takeaway

In a data-rich environment, success depends on how effectively that data is connected and applied — transforming operational insights into meaningful, customer-facing outcomes.