Artificial Intelligence for Efficiency Sustainability and Inclusivity in TradeTech 2025

The mineral inputs for batteries of electric vehicles (EVs) travel roughly twice the circumference of the earth from their origin to production, on average.8 AI has the potential to upend these complex global supply chains, transforming nearly every component of modern supply chains and changing how the system’s parts interrelate. Thus far, its impact has primarily been a story of the private sector’s use of reliability- and efficiency- orientated tools, as well as its use of AI to reduce risk and support sustainability efforts. The use of AI in supply-chain optimization has raised service levels by 65% and reduced logistics costs by 15%, according to one recent study.9 At the ecosystem level, AI can also improve decision- making in both the public and private sectors by presenting more sophisticated tools to visualize and analyse the current state of supply chains. Historically, information challenges, from tracing the provenance of goods to modelling weather disruptions, have limited companies’ ability to reliably manage supply chains. By improving visibility and data coordination, AI can provide a clearer picture of today’s complex and interconnected supply chains.Information verification Today’s supply chains require companies to manage compliance, procurement, resiliency, economic security, environmental harm mitigation and efficiency across long distances – and to do so at scale. Historically, supply chain and life cycle information has been fragmented and opaque. AI helps streamline and integrate real-time data on supply chains into overall decision-making, which helps institutions anticipate rapid change.  AI can fuse contextual information found in corporate registries, transport documents, purchase orders and related records with language processing across all major languages to create new insights about modern supply chains. Fusing data sources enables the production of continuously updated maps, which provide new levels of visibility about complex, multi- tiered supply chains. Even relatively simple supply chains like the one in Figure 4 can involve various companies across multiple tiers and jurisdictions. Charting supply chains FIGURE 4 Buyers tier oneProduct Tier zero Suppliers tier oneSuppliers tier twoSuppliers tier threeBuyers tier two Company C Company A Vehicle gear boxesAutomotive companyCompany A Company C Company E Company B Company D Company F Company GCompany B Company D Company E Company F Source: Altana AI65% increase in service levels as a result of the use of AI in supply- chain optimization. Artificial Intelligence for Efficiency, Sustainability and Inclusivity in TradeTech 12