A leading consulting firm with operations across 37 countries, renowned for its leadership, problem-solving, and value creation in the logistics industry.

The client sought to enhance its freight forecasting capabilities to better manage its logistics operations. The goal was to reduce the challenges associated with scattered information and inefficient data retrieval processes.

The client needed to address inefficiencies in predicting freight demands, optimizing route assignments, and managing break schedules to improve overall operational efficiency. The existing processes resulted in longer decision-making times and increased operational costs, highlighting the need for a more integrated and predictive approach.

The client, with Turing's support, curated a comprehensive AI-driven solution, implementing predictive models and integrating them with the client’s existing logistics infrastructure:

• Predictive analytics: Turing harnessed the power of cluster analysis to provide a week-ahead forecast of freight demands, optimizing resource allocation and reducing idle capacity.
• Route and break optimization: The solution included advanced data analysis and visualization tools to optimize route assignments and break scheduling.
• Comprehensive tech stack: The solution integrated Here API for geolocation services, load boards for freight prediction, and custom web app modules for freight visualization, assignment visualization, and data management.

• 95% predictive precision: Achieved significant accuracy in freight demand forecasting, enhancing load efficiency and reducing empty mile runs by over 30%.
• 30% reduction in empty mile runs: The precise forecasting improved load efficiency and reduced empty mile runs.
• 20% reduction in average trip length: Route optimization led to shorter average trip lengths, contributing to overall efficiency.
• 15% annual fuel savings: The optimized routes resulted in significant fuel savings.
• 40% reduction in unplanned stops: Break scheduling improvements minimized unplanned stops, leading to better compliance and delivery performance.
• 25% improvement in on-time delivery: Enhanced break scheduling and route optimization led to a notable increase in on-time deliveries.