Workshop makeover

Scaling for the holiday surge

 
Systems ready for the pressure of Christmas Eve

 

 

Expert insight

Leader spotlight

 

Rahul Mahajan-png-1

Rahul Mahajan

A global CTO at Nagarro, is an inventor shaping the future of enterprise transformation. With deep AI expertise and multiple technology patents, he guides Fortune 1000 leaders in building intelligent, autonomous, and future-ready enterprises.

 

Building an autonomous, resilient supply chain

When we held our Fluidic Advisory session, we assessed the workshop, and one theme stood out: the supply chain was operating at an extraordinary scale but with limited autonomy. Millions of orders, unpredictable weather, shifting wish lists, and a global delivery window measured in hours demanded more than automation — they required a system that could sense, decide, and act on its own.

The challenge went beyond coordination. It was about anticipating disruptions before they occurred, balancing inventory across sites in real time, routing sleigh fleets dynamically, and ensuring transparency and fairness in every decision.

The transformation

The response was a shift from isolated automations to a multi-agent intelligence network: the North Pole Autonomy Programme. Specialized AI agents now forecast issues, simulate scenarios, adjust workflows, and collaborate across production, routing, logistics, and ethics. Routine decisions are automated, and only true exceptions reach human teams.

The supply chain moved from reactive and labor-intensive to anticipatory, adaptive, and self-healing.

Behind the build

 

Fluidic-Enterprise

1. Multi-agent orchestration

Dedicated agents coordinate decisions across production, routing, inventory, and ethics.

2. Digital twin simulations

A living model of the entire North Pole runs constant what-if scenarios storms, shortages, shift gaps, and prepares responses before disruptions occur.

3. Self-learning operations

Reinforcement learning refines routing, scheduling, and inventory decisions with each season’s data.

4. Autonomous workflows

Low-code, event-driven processes let agents create or retire workflows — including VIP orders — without manual setup.

5. Ethical oversight

Explainable AI layers, bias checks, audit trails, and override channels ensure autonomy remains transparent and fair.

The workshop today

The supply chain now anticipates change instead of reacting to it. Systems reroute, rebalance, and recover autonomously, while teams focus on innovation rather than micromanagement. Each Christmas cycle strengthens the models, improving resilience, fairness, and operational performance.


Autonomy isn’t about removing people from the process — it’s about removing the friction that keeps them from doing their best work.

 

Rahul Mahajan
CTO, Nagarro