AI-Powered Retail Transformation in APAC: Building Scalable Foundations for Local Growth

Asia-Pacific is one of retail’s most exciting growth regions—but also one of its most operationally complex. Markets differ widely in digital maturity, customer expectations, fulfillment models and organizational readiness. For global brands, that creates a difficult balancing act: how do you establish a common technology and operating foundation across APAC without flattening the local nuance that drives relevance and growth?

That question is becoming even more urgent as AI moves from experimentation to execution. AI-led personalization, intelligent service and agentic workflows can unlock measurable value, but only when the underlying commerce, service and data foundations are modern, connected and scalable. For retailers in APAC, the path to AI success rarely starts with the AI layer itself. It starts by reducing fragmentation, accelerating releases and modernizing the systems that power everyday customer and employee experiences.

Why APAC Retail Transformation Demands a Different Playbook

APAC is not a single market. It is a diverse landscape shaped by different languages, fulfillment expectations, regulations, store footprints and levels of digital adoption. In this environment, retailers often inherit fragmented commerce estates: legacy storefronts, locally customized applications, siloed service processes and order management environments that are difficult to maintain.

These conditions create four common barriers to transformation:
When these issues persist, AI initiatives struggle to scale. Personalization is limited by disconnected data. Intelligent service is constrained by siloed systems. New digital capabilities take too long to launch. And local teams are left working around platform limitations rather than innovating for their customers.

The Foundation for Scalable, AI-Led Growth

Publicis Sapient helps retailers address these constraints by modernizing commerce and service foundations in ways that support both enterprise consistency and local execution. Our approach brings together strategy, product, experience, engineering and data and AI to help retailers move from fragmented operations to unified, agile platforms.

For APAC retailers, that means focusing on several essentials.

1. Create a common platform without losing local flexibility

A common codebase and shared storefront foundation can dramatically simplify operations across markets. But in APAC, standardization only works when it is designed to accommodate local requirements, not ignore them. The goal is not rigid uniformity. It is a scalable model that reduces duplication while allowing for market-specific experiences, business rules and release priorities.

This is especially important for global brands that need to keep pace with new features and evolving customer expectations across multiple countries at once. By reducing redundant customizations and rebuilding around a cleaner, more maintainable architecture, retailers can lower complexity and improve scalability for the long term.

2. Use agile migration to increase release velocity

In fast-moving retail environments, time-to-market matters. Legacy commerce estates often slow brands down because every enhancement or release becomes expensive, risky and disruptive. Publicis Sapient helps retailers modernize through agile delivery models that prioritize rapid deployment, continuous iteration and cross-functional collaboration.

The impact is not just technical. Faster releases create strategic flexibility. Retailers can test and learn, respond to seasonal peaks, roll out new journeys more efficiently and introduce AI-enabled capabilities without waiting months for foundational changes.

3. Unify commerce and fulfillment across channels

In APAC, omnichannel is not simply a front-end experience issue. It is an operational capability. Customers expect seamless movement between digital and physical touchpoints, while store networks are increasingly expected to support fulfillment, returns and post-purchase service.

That makes modern order management and inventory visibility critical. Retailers need connected systems that support real-time inventory insight, smoother returns, ship-to-home, click-and-collect and store fulfillment. When these capabilities are in place, retailers can reduce friction for both customers and associates while creating a stronger base for AI-driven orchestration and service automation.

4. Strengthen service foundations for intelligent engagement

AI-powered service experiences depend on more than a chatbot layer. They require modern service architecture, integrated case and order data, and workflows that can support automation while preserving empathy where it matters most.

Publicis Sapient helps retailers modernize service environments so AI agents and human teams can work together more effectively. This includes connecting service and commerce systems, reducing manual effort, improving access to customer context and enabling more responsive, personalized interactions across channels.

Pandora’s APAC Journey: A Practical Example

Pandora’s earlier transformation in APAC offers an instructive example of how global retailers can modernize for both speed and scalability.

In the region, Pandora was working with an outdated Salesforce Commerce environment shaped by unique customizations and local flexibility requirements that made upgrades costly and labor-intensive. Publicis Sapient partnered with Pandora to modernize the application using an agile approach, decoupling the region’s custom code, removing redundant and duplicate logic, and establishing a common codebase, shared functionality and storefront implementation.

The outcome was significant. Migration time was cut in half, and release velocity improved from several months to a matter of weeks, with no additional downtime required for e-commerce applications. Just as importantly, the transformation created a more sustainable foundation for future innovation across APAC.

Pandora also advanced its omnichannel capabilities by modernizing order management in Australia and New Zealand through IBM Sterling Order Management on Cloud. This gave the business stronger inventory visibility, improved returns and refunds, elevated customer service support and enabled services such as Click-and-Collect and Store Fulfillment. With a stronger fulfillment platform in place, Pandora was better positioned to scale these capabilities into additional markets.

Taken together, these efforts show what regional transformation should look like: modernize the core, remove friction, increase agility and create a platform that can support both common standards and local execution.

Why These Foundations Matter for AI Now

Once the platform layer is modernized, AI becomes far more actionable. Unified customer and commerce data can support more relevant recommendations and personalized engagement. Connected service and order systems can enable intelligent agents to resolve routine inquiries and support shopping journeys in more natural, context-aware ways. Modern fulfillment and inventory foundations can improve both customer-facing experiences and internal decision-making.

Pandora’s broader digital journey illustrates this progression. With Publicis Sapient and Salesforce, the brand later introduced AI-powered agents designed to bring the warmth and expertise of in-store interactions into digital channels. One agent automated routine customer service questions, while another acted as a personal shopper using commerce, customer and experience data to tailor recommendations. Those kinds of experiences are far easier to scale when commerce, service and operational systems have already been modernized.

A Regional Strategy for Retail Leaders

For APAC retail executives, the lesson is clear: AI transformation should not be pursued as a standalone initiative. It should be built on a regional modernization strategy that addresses structural complexity first.

That means:
Publicis Sapient helps retailers navigate this journey with a pragmatic, market-aware approach. We help global and regional brands modernize core platforms, enable unified commerce and design operating models that support faster innovation market by market. The result is not just better technology. It is a retail business that can move with greater speed, deliver more connected experiences and scale AI with confidence across APAC.

In a region defined by diversity and change, that balance of common foundation and local nuance is what turns transformation into sustained growth.