Artificial intelligence (AI), robotics, and automation hold the potential to fundamentally transform India's warehousing and cold-chain infrastructure, making supply networks more efficient, resilient, and capable of responding swiftly to disasters and emergencies, Department for Promotion of Industry and Internal Trade (DPIIT) Joint Secretary Pankaj Kumar said on Tuesday, 29 September. Kumar's remarks signal growing policy-level interest in deploying advanced technologies across India's logistics backbone.

Beyond Storage: AI as a Supply-Chain Brain

According to Kumar, AI-driven technologies could enable warehouses and cold-chain networks to move well beyond their conventional roles of storage and distribution. By integrating geographical, geopolitical, and disaster-related data with warehousing systems, AI platforms could forecast what supplies a particular region would need — and precisely when.

Such predictive capability, he argued, could allow both authorities and businesses to determine which essential commodities should be pre-positioned at specific locations, ensuring critical goods are available when and where demand spikes.

Lessons from Covid-19 and Disaster Response

'During floods, natural disasters, wars or any major crisis, one of the biggest challenges is ensuring the timely availability of essential goods and resources,' Kumar said, stressing that AI-enabled supply-chain systems could prove decisive in such situations.

He cited the Covid-19 pandemic as a stark illustration of what can go wrong when demand for critical resources surges unexpectedly. The distribution of oxygen cylinders and other essential supplies became acute logistical bottlenecks during the crisis, exposing structural gaps in India's supply-chain planning. Kumar said those lessons should now be embedded into future systems through AI-based demand anticipation and coordinated network management.

He also pointed to the large-scale rollout of Covid-19 vaccines as evidence that a robust cold-chain network can support major public health operations — and argued that AI and automation could further strengthen such systems by improving monitoring, storage management, and last-mile distribution.

Cold Chain: The High-Stakes Frontier

The cold-chain sector, Kumar noted, stands to gain particularly from AI integration. Temperature-sensitive products — including medicines, vaccines, and other high-value goods — require precise controlled conditions throughout storage and transit. Failures in this chain can render entire consignments unusable, with serious public health and economic consequences.

AI-powered monitoring systems could reduce such failures by continuously tracking temperature parameters and flagging deviations in real time, while automation could streamline inventory management across cold-storage facilities.

Robotics in the Warehouse

On the robotics front, Kumar said automated systems could take over several routine, labour-intensive warehouse processes. AI systems could map the precise location of products across warehouse racks, while robots retrieve required items and route them through the distribution pipeline — potentially delivering significant gains in speed and operational efficiency.

This comes amid a broader global push toward warehouse automation, with countries such as China, the United States, and several European nations having already deployed large-scale robotic fulfilment centres. India's logistics sector, which accounts for an estimated 13-14% of GDP according to industry estimates, has historically lagged in automation adoption.

What Comes Next

Kumar's remarks reflect an emerging policy consensus that technology integration in logistics is no longer optional for a rapidly growing economy. Whether the DPIIT translates this vision into concrete incentive frameworks or regulatory guidelines remains to be seen, but the direction of travel appears clear. Industry stakeholders and logistics firms will be watching for follow-up policy signals in the months ahead.