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Logistics

Industry 5.0 logistics needs human judgement behind AI

AI can optimise logistics decisions, but resilient industrial networks still depend on trained people who understand context, risk and responsibility.

Industry 5.0 logistics needs human judgement behind AI

Logistics is becoming more automated, data-driven and interconnected, yet the next phase of industrial digitalisation will not be achieved by removing human judgement. The challenge is to ensure that people remain capable of questioning automated decisions and taking responsibility for their consequences.

Jan Steenberg, president of CILT International, says AI may reduce the traditional opportunities through which newcomers gain practical knowledge. A planner entering the sector could learn to operate a sophisticated system without learning why a recommendation works, when it should be rejected or how it affects manufacturing, inventory and customer commitments.

Industry 5.0 logistics needs human judgement behind AI

Digital efficiency needs operational literacy

This is a significant Industry 5.0 issue. Resilient operations require technology to support people rather than separate tool users from professionals who understand the business. Managers must be able to assess data quality, identify exceptional conditions and own decisions made with AI assistance. That makes recognised qualifications and structured education increasingly relevant.

CILT International works as a federation, with national institutes adapting shared standards to local markets. Its network reaches about 40 countries, and up to 10,000 students study across the wider organisation each year. A membership app in development is intended to connect learners and professionals through specialist groups, with wider availability expected in 2027.

Collaboration can strengthen resilience

Industrial supply chains are also balancing geopolitical uncertainty, decarbonisation and cost pressure. Better coordination of existing assets can help. Manufacturers are pooling transport requirements and fleet capacity, while cross-sector partnerships have combined distribution or field-service activities. The potential benefits include fewer duplicated journeys and better utilisation, but these models depend on trust, governance and commercially workable agreements.

The transition to lower-carbon transport will likewise be plural rather than uniform. Ammonia is attracting investment in shipping, while hybrid trucks may be adopted ahead of fully electric heavy vehicles where purchase price and range remain constraints. Automated road transport could eventually reshape trunk-route operations, but its industrial value will depend on safe integration with wider supply-chain processes.

Technology matched to human needs

Workforce design remains part of the transition. An ageing driver population is making recruitment harder, especially where long periods away from home reduce the appeal of the profession. A Turkish CILT programme supported by Mercedes-Benz Trucks and government aims to train and recruit 5,000 women into professional driving over five years.

Last-mile systems also need to reflect different users. Lockers can consolidate parcel flows, but direct delivery remains important for medicines and ageing populations. In Ghana, drones transport urgent items such as blood and medication to health centres within about 100 kilometres. These examples underline a practical principle for industrial innovation: automation creates the greatest value when it is combined with skilled oversight and designed around real operating conditions.

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