As retail technology ecosystems grow increasingly complex, organisations face critical decisions about their commerce architecture. While composable approaches offer flexibility and best-of-breed capabilities, unified platforms promise integration and operational simplicity. Meanwhile, the normalisation of AI across retail operations has shifted focus from "if" to "how" these technologies should be implemented within existing systems.

This research examines how retail technology leaders are navigating architecture decisions that balance immediate business needs with long-term flexibility. We want to hear from companies taking different approaches—from those investing in composable commerce to those optimising unified platforms, as well as those pursuing hybrid models that leverage the strengths of both approaches.

The research will explore current thinking on technology architecture trade-offs, approaches to managing technical debt, and strategies for capturing customer data in an era where 40-70% of visitors remain anonymous. We'll examine how retailers balance legacy system investments with emerging technologies, and what they see as critical capabilities for future retail success.

Key areas of exploration include:

Participants will gain early access to insights from peers across the retail sector and contribute to thought leadership that helps shape the industry's approach to commerce architecture in an increasingly complex technology landscape.