Infios AI Solution Aims to Optimize Freight Costs

Infios has introduced a new artificial intelligence (AI) system aimed at optimizing freight operations and improving company bottom lines. The solution continuously analyzes a wide array of variables, including shipment weight, destination, carrier rates, traffic conditions, and weather, to select the most efficient route, mode, and carrier for each load.

Traditionally, freight optimization was a tactical process focused on pre-planned shipments with reactive adjustments. However, in today's dynamic supply chain environment, static planning leads to inefficiencies and risks. AI-powered systems allow for dynamic responses to unexpected changes, such as capacity constraints or escalating costs.

Infios's AI-driven Transportation Management System (TMS) shifts freight optimization from reactive planning to continuous decision-making. The system identifies optimal routes, rebalances loads, and makes intelligent, real-time adjustments based on evolving conditions. This significantly enhances delivery reliability and reduces costs related to fuel consumption and carrier fees.

Companies utilizing AI for freight optimization can achieve up to a 15% reduction in fuel consumption and 10% savings on transportation costs. Customer satisfaction also improves due to increased accuracy and real-time visibility. Infios views freight optimization as an ongoing capability essential for business growth and competitiveness in the global economy.