Registration & Arrivals

Opening Address: The Automation Question for Indonesia

As Indonesian supply chains face growing pressure to become faster, more resilient and cost-efficient, where can AI create measurable value today

SPEAKER

» Albert Indardyo, Director of Sales, Locus

Fireside Chat

Beyond the AI Demo: 5 Questions to Ask Before Scaling AI in Operations

Format: 20-minute fireside chat featuring two industry leaders, moderated by Locus

Discussion overview:

AI is moving quickly from experimentation and demonstrations into real operational environments. For supply chain leaders, the question is no longer simply whether AI can perform a task, but whether it can create meaningful value within the realities of their business, its data, systems, workflows, constraints, and people.

This discussion aims to explore what sits between an impressive AI demonstration and successful real-world adoption: how organizations can identify relevant use cases, validate that AI works within their existing operations, determine the right balance between automation and human judgment, and establish evidence of value before scaling. The conversation should also acknowledge that AI capabilities have different levels of maturity, risk, and autonomy depending on the use case.

The discussion is intentionally vendor- and platform-neutral. Panelists are encouraged to draw from broader supply chain experiences and examples beyond TMS, including AI applications in planning, inventory, procurement, warehousing, forecasting, and other operational areas. The objective is to give leaders practical perspectives on what to validate, what to question, and what to consider before putting AI to work at scale.

PROPOSED QUESTIONS

1. Where does AI actually add value in supply chain operations?

Where are we seeing AI move beyond reporting, prediction and recommendations into meaningful operational support or decision-making? Which use cases are genuinely useful today, and which still require further validation?

2. What happens when the system gets something wrong?

When an AI-led decision produces the wrong outcome, what should we be able to see, audit, explain and override? Who ultimately remains accountable for that decision?

3. How do we ensure AI capabilities are relevant to our existing workflow?

How can organizations assess whether an AI capability will genuinely work within and enhance their current processes, systems, and ways of working, not just perform well in a controlled demonstration? What should buyers validate to ensure the capability is practical, relevant, and scalable in their day-to-day operations?

4. What controls and guardrails need to be in place?

Which transportation decisions are mature enough to be executed autonomously, and which should continue to require human approval? How should organizations determine and govern those boundaries?

5. How do we know when AI is creating real business value?

What should organizations measure beyond technical performance? Where should they expect to see measurable impact, and what evidence should they have before expanding an AI initiative beyond an initial pilot?

Executive Roundtable Discussion:

Drawing the Automation Line

• » A candid, peer-led discussion on the decisions leaders would trust AI to make right now and those that should remain human-led.
• » Together, participants will examine where to automate now, where AI should assist, and where human-in-the-loop remains indispensable.

Discussion open to all attendees

Closing address: What now?

The evening’s strongest insights distilled into a practical set of priorities, red flags and principles for making smarter automation decisions.

SPEAKER

» Albert Indardyo, Director of Sales, Locus

Networking Lunch