For industrial companies, the near-term value of artificial intelligence in logistics is likely to come from augmenting people rather than replacing them. Transport operations generate a constant stream of minor changes, and the cumulative administrative load can be substantial even when each individual request is simple.
Ben Glossop, Vice President of Sales at Aptean, describes a customer handling 70 to 100 daily emails requesting revised delivery windows. An AI agent can extract the relevant information, update a transport plan and assess the effect on mileage, time and vehicle requirements. The company defines acceptable tolerances; cases outside them remain with a human decision-maker.
Digital resilience depends on context
This staged autonomy is important in an industry exposed to road closures, weather, staff absence and last-minute customer changes. An agent can begin by seeking approval, learn from decisions and assume responsibility only for patterns that are well understood. Glossop argues that vertical AI has a practical advantage because it reflects logistics terminology, service commitments and operating restrictions.
Aptean’s Ask Paragon functionality gives planners a conversational way to examine route performance or test the consequences of altered delivery windows. AppCentral is intended to provide an orchestration layer across transport management, warehouse management and other applications. The benefit depends on integration and data quality: a higher-level agent can only coordinate reliable action when the underlying systems contain usable information.
Efficiency, utilisation and trust
Time saved is currently the clearest measure, but AI could also strengthen asset utilisation. A developing agent is designed to find routes forecast below 80% utilisation, contact customers about additional orders and involve an account manager where needed. Improving load factors may reduce wasted capacity without forcing operators to sacrifice flexibility.
Technology must nevertheless be judged against the rules it is designed to enforce. One implementation appeared to increase planning costs by 20%, although the new software was applying delivery windows, driver-duty limits and vehicle restrictions more consistently than previous manual practice. A robust Industry 5.0 assessment therefore includes service reliability and compliance alongside cost.
Aptean Ascent reflects this outcome-oriented approach by combining AI, process change, benchmarking and continuing support. Its broader lesson is that resilient digital transformation requires employee involvement. People closest to a process understand its weaknesses, but adoption suffers if they believe automation threatens their roles. The practical destination is not a workerless supply chain; it is a system that reserves human attention for exceptions, judgement and improvement.
