Deploying technology can help alleviate cost pressures and provide additional flexibility for businesses to manage through uncertainty. According to the Harvard Business Review, 89% of companies report undergoing digital transformation.Disclosure 3 For T&L businesses, investing in technologies helps them manage shifts in demand and stay competitive. By enhancing productivity, reducing labor costs, and enabling predictive planning, technology investments can drive profitability and equip businesses to navigate future challenges.
Demand forecasting, routing and capacity planning, workforce management, and performance reporting are some of the primary areas that T&L businesses look to transform using the latest technology, like generative artificial intelligence (GenAI). According to McKinsey & Company, logistics service providers are optimistic about Gen AI adopting it at higher rates and demonstrating greater ambitions to grow their use of the technology than their customers.Disclosure 5
The technologies that offer the most promise will vary for each T&L business depending on its sector, the customer niches it serves, the strategies it pursues, and the value it delivers. Technology projects for the T&L industry typically break down into these three categories:
Digital solutions. Technology can connect your organization. Streamlining workflows and providing self-service information to customers and staff can help improve the digital experience and lower servicing costs. Investments can go toward updating or extending core warehouse and transportation management systems or can flow into modules that support skill development and training, safety monitoring, advanced resources planning, and a variety of other applications.
Sensing and automation. For some logistics and warehousing companies, sensing technologies like radio-frequency identification (RFID) tags and optical character recognition (OCR) provide tracking information that’s revolutionizing inventory and warehouse operations. For others, automation and robotics greatly simplify T&L processes and reduce the need for human labor. Exploratory pilot projects can provide learning that will steer you to the technologies with the greatest potential to impact your business. You don’t have to be Amazon—projected to have more robots than employees by 2030Disclosure 4 —to start benefiting from automation.
AI revolution. Generative AI can integrate large, disparate data sets and put them to work toward a range of business objectives. Early use cases find AI software can optimize routes, improve load planning, and provide predictive insights. Using AI to forecast supply chain trends and predict maintenance for transportation equipment and infrastructure—ensuring they’re serviced before issues become problematic—improves operational efficiency and reduces the risk of unexpected delays.
Leading industry players are racing to integrate Gen AI into their operations. McKinsey & Company research shows that large logistics services companies have already implemented Gen AI in at least three use cases, with the top use cases being service model and usage patterns analysis, fleet utilization assessment, and fraud detection. The companies surveyed anticipate expanding to seven or more use cases within the next three years.Disclosure 5