2026 Agenda

MUJI is globally recognized for its philosophy of “no-brand quality goods,” delivering practical, well-designed products that fulfill everyday human needs through simplicity and thoughtful design. While the brand presents a minimalist experience to customers, maintaining that simplicity across thousands of products, diverse categories, and global markets requires significant operational discipline behind the scenes.

As MUJI has expanded its footprint across regions and product categories, the company has faced increasing complexity in product development, supply chain coordination, and global operations. Ensuring consistency across markets while allowing local teams to respond to regional needs requires stronger governance, improved visibility, and greater collaboration across teams.

In this session, MUJI will share how the organization is strengthening the operational foundations that support its philosophy—from managing product information more effectively to improving coordination across global teams and supply chains. The conversation will explore how maintaining simplicity at scale requires thoughtful operational design and a strong data foundation.

Retail leaders will gain insight into how MUJI balances philosophy, operational discipline, and global growth while continuing to deliver the consistent customer experience that defines the brand.

Forget guesswork. Today’s most successful retailers build journeys grounded in what customers really do, not what brands hope they’ll do.

In this session, Dotdigital and a leading retail client uncover how behaviour‑driven insights shape natural, high‑impact journeys across every channel. You’ll walk away with practical tactics for designing cross‑channel experiences that feel human, relevant, and impossible to ignore.

As AI-powered search and recommendation engines increasingly mediate digital discovery, traditional localization strategies are no longer enough to ensure brand visibility across markets.

In today’s AI-curated commerce environment, visibility is not simply ranked, it is interpreted. LLMs evaluate various signals before surfacing brands to consumers and this shift has significant implications for retailers operating across diverse APAC markets. Where AI ecosystems, dominant platforms, and linguistic behaviors vary widely.

This session explores how AI is reshaping cross-border discovery and why localization must evolve from translation support to a visibility architecture.

Attendees will leave with a clearer understanding of how to assess their organization’s AI-visibility maturity and what to do next.

What happens when your AI goes beyond just answering questions and starts solving complex problems? Welcome to the Agentic Enterprise. Join Google Cloud as we look ahead to the future of the consumer experience. We’ll showcase real-world use cases and outline the strategic moves you must make now to evolve your architecture, revolutionize workflows across commerce and service, and deploy foundational AI that will set you up to meet consumer's evolving behaviors and expectations.

Join this session to hear about how retailers are building AI-ready technology stacks that drive faster decisions and better customer outcomes.

Learn how fast-scaling platforms like Amaze (Ascend Group) are using AI-powered analytics to move beyond dashboards and raw behavioural data to uncover meaningful insights, accelerate product innovation, and optimize digital experiences at scale.

Expect practical examples, lessons learned from real-world deployments, and actionable strategies for turning AI ambition into measurable business impact.

Agentic commerce is the biggest retail opportunity of the decade.

AI agents are unlocking entirely new ways to engage shoppers—anticipating intent, personalising at one-to-one scale, and completing transactions across web, mobile, voice, and emerging conversational channels. Early movers are already seeing measurable lifts in conversion, basket size, loyalty, and operating margin—turning AI investment into commercial advantage.

The question isn't whether to act. It's how to scale from pilot to enterprise impact—fast.

In this session, leaders from Microsoft and Infosys share the industry playbooks accelerating digital commerce transformation across APAC. You'll learn how agentic AI is reshaping the customer journey, the foundational capabilities retailers must build—unified data, trusted AI, modernised commerce platforms, and an agent-ready operating model—and the proven patterns separating leaders from laggards.

Walk away with a clear blueprint, real customer stories, and an actionable roadmap to capture your share of the agentic commerce opportunity.

Siloed retail operations slow decision‑making, especially in the dynamic APAC operating environment.

Blue Yonder AI unifies complex data and enables teams to act with machine‑speed and precision, improving forecasts and predictions, reducing risk, and accelerating decisions across the business. Learn how embracing AI turns complexity into rapid, informed action that drives better business outcomes and customer experiences.

Search rankings once took years to build. AI answer engines are reshaping them in months. As consumers increasingly rely on AI to decide what to buy, brands that aren’t part of that conversation aren’t just losing traffic they’re losing relevance.

This session explores a critical question: does your commerce strategy reflect how customers behave today? We’ll get practical about what it takes to become the brand AI sees, trusts, and recommends across every moment of discovery and decision.

Because in this new landscape, visibility isn’t earned over time it’s won in every interaction

Retailers are struggling to convert AI access and investment into scaled value, and most have not redesigned jobs, careers, or operating models around AI.

Only 25% have moved at least 40% of AI experiments into production, and only 20% generate revenue growth from AI. Organisations remain focused more on access and fluency than redesign: 84% have not redesigned jobs around AI, only 30% are redesigning career paths, and only 16% have materially shifted to flatter organisational models

We are pleased to have Karen Chan, CCMO from FairPrice, join us to discuss further on organisational readiness over technology, workflows redesign, leadership sponsorship & change narrative and new AI economics and value creation.

Connecting Planning, PLM, Market Intelligence, Pricing & Inventory and PXM for Speed, Margin & Consumer Trust AI is redefining retail execution from product concept to consumer. This session explores how connecting Planning, PLM, Market Intelligence, Pricing & Inventory and PXM (PIM, DAM, Syndication, Digital Analytics) on one single platform drives faster decisions, stronger margins and lasting consumer trust. Learn how 20,000+ brands and retailers like ASICS, AEON/Topvalue, Kmart/Target, Carrefour, SHEGLAM, Levi Strauss & Co, Magnum, The Body Shop, TESCO, Revlon and more turn AI-powered insight into smart decisions and transform multi-channel commercialization into a durable engine of growth.

Chateraise continues its aggressive expansion as a Japan-born global sweets brand, with a particularly strong presence across Asia. However, behind this rapid growth lay a hidden challenge: "Payment Fragmentation," where payment systems varied significantly by country and store. This fragmentation led to operational complexity and became a major barrier to further global scaling.

In this session, we will explore Chateraise's initiative to unify its global payment infrastructure in Southeast Asia. We will delve into the strategic background behind the decision—"Why was platform integration necessary now?"—and discuss their future outlook.

Note: this session will be conducted in Japanese 

AI is reshaping retail marketing across Asia Pacific, but most teams are still struggling to make it work.

In this session, Alon Levin, VP of Product Innovation at Supermetrics, explores why fragmented data is the real barrier to AI adoption and how unifying marketing and commerce data unlocks faster decisions, smarter budget planning, and end-to-end campaign execution in a single conversation.

The session also features a fireside chat with Theerawat Saendawibadhana, EVP of Max Me Corp, the digital unit behind PTG Energy Group's 25-million-strong MaxCard loyalty platform. Alon and Theerawat will share how Max Me turned 10+ terabytes of daily raw data into hyper-personalized customer journeys — achieving a 25% campaign conversion rate in just three months — and what the road to AI-driven, real-time personalization at scale actually looks like in practice.

Physical stores are not fading, they are redefining retail leadership. The store is becoming the core transformation engine of modern retail: digitized, connected in real time, and powered by IoT, data and AI.

When store data becomes trusted, granular and actionable, it fuels unified commerce, accelerates e-commerce performance, improves on-shelf availability, empowers associates, and elevates customer experience. The connected store is not a concept anymore, it is the new operating model enabling faster growth, higher NPS, and structural performance gains across the chain.

It's easy to make a brand promise, keeping it at peak season is the hard part.

Smyths Toys serves millions of customers across seven countries, onboards thousands of seasonal staff every year, and keeps launching new in-store services at pace. In this session, GK Software & Smyths discuss how Smyths Toys deliver a consistent, joyful shopping experience regardless of channel, even under extreme demand. You'll hear how choosing the right platform enables them to meet peak demand, get new colleagues productive fast and launch new touchpoints and services without long development cycles.

HAPPY GO is Taiwan’s leading loyalty and marketing platform, serving millions of members across one of APAC’s largest retail conglomerates. In this session, the focus shifts from data collection to business impact—showing how a rich dataset can become a true engine for growth.

This session explores how leading retailers are overcoming the complexity of store modernisation by harnessing AI, unified data, and Digital Twins.

Through a live discussion with Hanshow, Rainbow, and Microsoft, we’ll examine real-world approaches to addressing challenges such as fragmented systems, workforce enablement, and the cost of transformation. The session will conclude with a forward-looking view on how emerging AI-driven workflows and platforms are enabling the next generation of intelligent, connected stores.

Most retail growth decisions feel right: backed by data, approved by stakeholders and launched with confidence. So why do so many underdeliver?

The issue isn’t bad ideas. It’s the absence of a system for knowing which ideas are actually working. In this session, we’ll hear from leading retailer on how they are using analytics, experimentation, and measurement not as one off tools, but as a decision engine.

Mars, Microsoft, and Enhans explore how global consumer brands are moving beyond reactive reporting to always-on, AI-driven commerce execution.

The panel examines real-world challenges in pricing governance, cross-border compliance, and emerging trend detection — sharing how AI agents paired with enterprise guardrails enable brands to act faster without losing control, turning fragmented market signals into repeatable growth across categories and geographies.

As retail becomes more complex, the pressure to drive consistency while keeping frontline teams engaged has never been higher.

In this session, hear how bp is rethinking its approach to communication and execution to better support store teams and bridge the gap between corporate strategy and the store floor.

Joined by WorkJam, bp will share the practical lessons they’ve learned while building a more integrated workforce, from scaling peer recognition and two-way feedback to simplifying the daily experience for store teams. The discussion will also explore the next phase of frontline operations, and how the topic on everyone's mind, AI, will play a meaningful role in shaping the future of work.

As commerce shifts from search-led browsing to AI-guided buying, retailers face a new imperative: become discoverable, trusted, and ready to convert in agent-driven journeys, or risk becoming invisible.

In this session, Anne-Claire Baschet, Chief Data & AI Officer at Mirakl, joins Warwick Blunt, GM Digital Commerce at Myer, to explore how Agentic Commerce is reshaping product discovery, decision-making, and digital shelf strategy across APAC.

Together, they will discuss what retailers must build now, from data and assortment readiness to trust, activation, and monetization, and how Mirakl helps retailers stay visible, competitive, and ready to convert as AI agents increasingly influence what shoppers buy and from whom.

Accenture and Microsoft are reinventing Route-to-Market combining real-time data, AI, and agentic intelligence to transform how brands engage retailers and drive growth at scale.

Hear from Haleon digital leaders on how they’re using AI to drive efficiency, sharper decision-making, and measurable sales impact and what it takes to operationalise this in the real world.

Big C Thailand is redefining its retail architecture around a simple principle: customer data first. In this session, Big C leaders share their vision for building a vertical AI foundation that places customer insight at the heart of store-level assortment, planning, and execution. With SymphonyAI & READY, they explore why grocery-specific AI, data integration, and platform thinking are critical to building the next generation of retail operations.

Elevate your 2026 experience with a vision for the future of retail, where we explore how AI has reshaped shopping behaviours and trends you should not miss.

Join us for an action-oriented session where we focus on the practical reality of agentic commerce. We will explore how brands can capture instant intent and transform how they create, capture, and convert demand in this new era.

Whether your goal is driving store footfall, increasing online sales, or building deeper customer loyalty, learn how to leverage Google’s AI to work intelligently for your marketing team. Plus, get an exclusive sneak peek at new Google retail features launching in APAC, designed to maximize your marketing ROI in 2026.

Self service checkout has become a critical platform in Australian retail — shaping customer experience, store performance, and long‑term growth. Based on newly published IDC research surveying Australian consumers and retailers, this thought leadership session explores why self service is being re‑evaluated and how checkout is evolving from a transactional function into a core part of the in‑store experience.

Drawing directly from the consumer findings of the IDC survey, Stephanie Krishnan (IDC) will highlight what Australian shoppers value most at checkout — including ease of use, speed, and intuitive experiences — and why retailers are placing greater emphasis on usability, availability, and operational resilience as a result.

Professor Gary Mortimer will provide an Australian retail perspective, contextualising the research findings through real‑world shopper behaviour and broader market dynamics, while Kristie Longhurst (Diebold Nixdorf) will share industry patterns and lessons observed across the market as retailers respond to these shifts through modular self service, resilient store operations, and data‑driven optimisation.

Attendees will gain practical, Australia‑specific insights into how checkout and self service can be designed to support better customer experiences, more reliable store operations, and sustainable retail performance.

3.5 million traditional warungs. 17,000 islands. One fragmented supply chain. For FMCG brands trying to scale, the last mile isn't just hard — it's structurally broken. Deep Insights, an AI Agent driven SCM solution provider and Bersama, Indonesia's leading warung enablement platform — present a new model: replacing legacy systems with a unified WMS + TMS + AI Agent platform. Deep Insights' 46 specialized AI Agents solve these by acting as digital workers that coordinate across systems, monitor in real-time, and optimize continuously.

Core Formula" Over "Tech Hype

The Technology is often sold as a cure-all, but:

•AI is a Co-Pilot, not the Pilot. Even the most advanced Agentic AI cannot fix a broken fundamental strategy.

•If the basic formulation of Merchandising is flawed, AI will only help you make mistakes faster.