en.Wedoany.com Reported - Descartes Systems Group has launched a new platform called "Fleet Data Intelligence," adding fleet operations analysis and optimization capabilities to its Global Logistics Network (GLN), further expanding AI-driven applications in the logistics sector.

The platform aims to improve delivery punctuality, enhance customer service, and reduce the cost per delivery.

At the core of the new platform is the use of operational data from daily business activities. Descartes stated that this data provides valuable insights for improving fleet performance but has often not been consistently evaluated in the past. Through artificial intelligence and machine learning, the platform can identify relevant patterns and translate them into specific actionable recommendations.

A key component of the platform is a new AI agent that enables dispatchers and fleet managers to directly analyze complex issues without requiring specialized data knowledge. The system can quickly answer questions such as why route times have changed, what factors are causing overtime, and where service levels are at risk. Additionally, the system can identify long-term patterns and structural inefficiencies in operations.

Another component of the platform is a machine learning-based predictive model. These models consider factors such as actual driving and delivery times, vehicle type and load structure, and geographic conditions to calculate more accurate delivery time windows and optimize schedules. Initial applications show that route density can be increased by up to 30%.

In addition to real-time analysis, the solution offers comprehensive monitoring and reporting capabilities. Companies can continuously track changes in key performance indicators, assess the impact of operational adjustments, and not only achieve short-term improvements but also sustainably consolidate these improvements and scale them across their entire operations.

In high-frequency delivery sectors such as food retail, beverage distribution, or wholesale, even minor efficiency gains can yield significant economic results. By using an AI-driven analytics platform, companies can manage their fleets more efficiently, improve utilization and productivity, and continuously reduce daily operational costs. Data-based optimization is becoming increasingly important in fleet management.

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