How global shifts in trade, climate, workforce and technology are exposing the limits of traditional approaches.

• What’s holding back innovation in real operational settings?
• How modular processes open the door to safe, fast change
• How to ensure that innovation is guided by a clear 'north star' and not just a mess of side projects that don't compound?
• Early examples of operators blending their own IP with targeted external solutions

Move from fragmented data and tactical fixes toward a scalable, composable foundation without triggering a multi-year transformation nobody finishes.
Why orchestration matters: Moving beyond isolated pilots and dashboards toward connected decision flows across planning, procurement, logistics, and customer service.
Avoiding the ‘boil the ocean’ trap: How to prioritise high-value data connections and processes that deliver ROI fast while building toward long-term architecture goals.
From integration to orchestration: The shift from point-to-point interfaces and middleware to a more modular, API-driven ecosystem that can flex as the business evolves.
Building blocks for composable data foundations: Master data governance, data models, semantic layers, and event-driven design — in practical, implementable steps.
Managing complexity and ownership: Balancing central data strategy with local autonomy; clarifying roles for IT, operations, and analytics teams.
Capital-efficient scaling: Using automation, AI-assist tools, and cloud-native services to reduce cost and time-to-value.
Real-world examples: How leading supply chains are sequencing their data modernisation journeys — from cleaning and connecting to contextualising and predicting.
Success metrics: What to measure in year one vs. year three; how to track progress without waiting for the “big bang” moment.

Becoming a smarter buyer, not just a faster mover:

• Understand the digital concepts and modular trade-offs leaders need to navigate.
• Discover how digital fluency empowers better decisions around build vs buy vs partner.
• Learn how to embed experimentation, learning and metrics into day-to-day operations without losing control.

Facilitators: consultants, tech enablers and operators with lived experience.
Shifting from episodic transformation to continuous, adaptive innovation.
Overcoming organisational inertia
Linking innovation priorities to strategic resilience goals
Moving from waterfall-style change to agile delivery
What agile means in asset-heavy, regulated supply chains
How to structure pilots, sprints and governance to prove value fast
Practical ways to blend agile practices with existing programme management structures

• Start by monitoring key suppliers and trade lanes, then connect diverse risk data—financial, geopolitical, and operational—into one shared view.
• Integrate automated alerts and predictive analytics into planning and procurement cycles for faster, data-driven responses.
• Scale toward AI-enabled risk orchestration that prevents disruption and converts reliability into competitive advantage.

• Establish baselines for energy, waste, and emissions, expanding to optimise cost–carbon trade-offs across logistics and sourcing.
• Integrate sustainability metrics into existing dashboards and planning tools, progressively linking with procurement and supplier systems.
• Use verified cost and efficiency gains to finance broader transformation and position sustainability as a growth driver, not compliance.

• Build initial visibility into major cost drivers, expanding toward integrated dashboards uniting finance, logistics, and commercial data.
• Use modular analytics to reveal true product, customer, and channel profitability, driving cross-functional alignment.
• Progress to dynamic scenario modelling that informs design of profitable, sustainable, and resilient service portfolios.

• Stabilise core WMS and labour processes, then pilot automation in high-impact areas to prove ROI.
• Layer orchestration software that synchronises robotics, workforce, and analytics across facilities.
• Advance toward adaptive fulfilment networks where connected robotics and AI continuously optimise throughput and labour efficiency.

• Secure carrier capacity and tracking for critical routes, then expand into predictive routing and ETA optimisation.
• Connect multi-carrier and control-tower data through open interfaces to orchestrate delivery networks dynamically.
• Transition to autonomous, sustainability-aware transport optimisation that balances service, cost, and carbon in real time.

• Consolidate visibility of orders, inventory, and shipment status to eliminate manual coordination.
• Introduce predictive alerts and automated workflows that link planning, fulfilment, and customer service.
• Develop intelligent service orchestration that delivers on customer promises proactively and at scale across all channels.

• Visualise and measure key operational processes, then expand continuous mining to identify high-value improvement and automation opportunities.
• Embed insights into decision workflows, linking human expertise with AI-guided governance.
• Progress toward live process twins that drive autonomous, data-backed improvement cycles across the enterprise.

• Provide targeted digital literacy and hands-on experience through short, role-based learning.
• Develop citizen automation and analytics communities using low-code and AI-assisted tools.
• Foster a culture of continuous learning and experimentation where human–machine collaboration becomes the engine of innovation.