The AI Advantage: Supply Chains Evolve for Rapid Response

We explore how AI is used in supply chain planning and reporting, with a look at the top vendors and how global companies are using the tools to get ahead

As companies around the world turn to AI to aid with planning and reporting in their supply chains, it is easy to get caught up in the hype.

Unprecedented levels of volatility are driving more supply chain leaders to invest in technology, 55% according to Deloitte. Meanwhile AI adoption is projected to surge from 28% to 82% by 2029, reflecting its growing role in processes such as inventory management, demand planning, logistics and end-to-end visibility.

Deloitte also identified AI as one of the most critical tools for navigating 2025’s biggest supply chain pressures, including economic uncertainty, tariffs, geopolitical unrest and workforce shortages.

Together, this paints a picture of an AI-driven future, in which it becomes central to a competitive supply chain strategy.

What is AI planning and reporting?

In supply chains, AI – including the likes of advanced analytics, machine learning and agentic AI – can be used to optimise and automate processes which would otherwise take longer and accrue more human errors.

These processes include everything from forecasting market demand to anticipating supply disruptions on the planning side, whilst it can also be used to track and generate reports on the likes of emissions maps and ESG issues.

The resulting reports are then used to inform regulators or empower decision-makers to respond effectively to supply chain disruption.

Nike is giving its supply chain an AI upgrade, turning a global logistics puzzle into something far more streamlined, efficient and green. Using AI-powered predictive analytics, the company now forecasts demand with accuracy, pulling insights from past sales, market shifts, seasonal patterns and even factors like weather or economic changes.

The fitness fashion retailer’s Chief Financial Officer Matt Friend explained the strategy in a 2022 earnings call: “As we accelerate our consumer-led digital transformation, we are developing and refining new capabilities that are transforming our operating model, quickly becoming a competitive advantage for Nike. This will give us real-time visibility to inventory across our network, plus dynamic transactional capabilities to optimise consumer demand and inventory productivity.”

Behind the scenes, AI tools keep watch over inventory across every warehouse, shop and distribution hub, ready to respond if things go wrong. A late shipment triggers AI to find another route or shift stock to keep products moving. It even tackles sustainability, advising on production volumes to cut waste and suggesting ways to repurpose unsold goods.

By doing all this, Nike keeps customers happy, costs in check and its environmental impact in focus.

AI adoption in retail

AI adoption is already adding value across a broad range of supply chain processes and sectors, including retail, electronics, agriculture and logistics.

In the consumer goods space, it is used to increase the accuracy of demand forecasting by integrating external data such as social media trends, weather patterns and events, into the company’s system. This reduces excess inventory and ensures customer satisfaction remains high.

Maersk’s Remote Container Management (RCM) system blends IoT sensors with machine learning to keep an eye on temperature, humidity and CO₂ levels inside refrigerated containers. If something’s off, the system flags it instantly and suggests fixes, cutting cargo spoilage by 60%.

It also operates “Captain Peter,” a AI-powered virtual assistant, who tracks containers, answers questions and spares customers from hold music.

Chief Data Officer Krishnan Srinivasan explains how AI has transformed port operations through digital twins: “A few years back, when a ship had to arrive at a port, the port operator would spend a lot of time getting ready for the ship to berth. Then we looked at AI and today we do it with a digital twin… This provides us with the capability to do ‘what if’ scenarios – much ahead of time. What used to take days takes hours.”

As a result, vessel fuel use is down 12% (saving US$150m each year), customer service inquiries reduced by 25%, container utilisation up 30% and carbon emissions trimmed by 5% thanks to AI-optimised routing.

For example, retailers across the UK recently saw shoppers return to the high street spurred on by warm weather and seasonal events.

With everything from Wimbledon and Beyoncé concerts to international cricket and football on offer, consumers headed to supermarkets, fashion outlets and fuel pumps to stock up, dress up and head out.

Sales volumes rose by 0.9% in June, according to the Office for National Statistics (ONS), recovering from a sharp drop in May. While the rebound fell slightly short of forecasts, it showed how closely consumer behaviour follows the weather.

Siemens is putting AI to work in its supply chain, with AI-driven demand planning and inventory optimisation. The company cuts down on manual planning, sharpens forecasts and spots cost-saving opportunities before they slip away. These tools even keep tabs on component availability in real time, so when disruption occurs, Siemens can quickly find alternatives and keep things moving smoothly.

AI is also integrated into Siemens’ digital twin and software platforms, including Siemens Xcelerator. This combination delivers a full view of the supply chain, from design to manufacturing, helping teams react faster to market shifts while keeping sustainability in focus.

Roland Busch, CEO of Siemens, explained the motivation: “We are leveraging AI to enhance our products and services, making them more efficient, intelligent, and customer-centric. AI is making a significant impact in areas like predictive maintenance and quality control, helping us improve decision-making and operational resilience across the supply chain.”

Siemens also makes a point to champion human creativity alongside AI’s data power, training people to see AI as a partner in building the future, not a replacement.

What role could AI play in the future of supply chains?

Despite some challenges related to data quality, system integration and the ethics of AI governance, the accelerating investment trends and technology maturation point to rapid adoption and growing impact.

The future of AI in supply chains will likely be defined by increasing automation, intelligence and resilience as more companies employ more AI-confident leaders to drive this change forward.

Many leaders also feel agentic AI, capable of autonomous decision-making without continuous human oversight, will also become pivotal. In many cases they already are, as companies create their own agents to execute highly specific tasks such as route optimisation.

As the quality of data which AI learns from improves, its output will follow – bringing with it increased precision in both forecasting and visibility. This could mean supply chains evolving into more interconnected ecosystems – finally breaking down those silos the industry is always referencing.

In just a few years, AI-powered supply chains could be the norm, and will be instrumental in helping businesses navigate volatility and secure competitive advantage.

By Supply Chain Digital.

Source: Supply Chain Digital. https://supplychaindigital.com/news/the-ai-advantage-supply-chains-evolve-for-rapid-response. 28 September 2025