ORTEC Americas has been named the “Last Mile Platform of the Year” by the SupplyTech Breakthrough Awards in 2025. This annual program, conducted by SupplyTech Breakthrough, celebrates innovation in supply chain technology and logistics, recognizing standout companies and solutions globally.
Transforming Last-Mile Logistics with AI
ORTEC’s Last Mile Solutions leverage AI-powered optimization to revolutionize last-mile delivery. By integrating real-time data such as order details, traffic conditions, and geographical constraints, the platform identifies the most efficient delivery routes. These routes are crafted with advanced algorithms that minimize unnecessary mileage, enhance delivery accuracy, and ensure compliance with promised time windows.
But route optimization is just the beginning. ORTEC’s dynamic planning capabilities adapt swiftly to real-world disruptions like traffic or weather delays. Intelligent resource allocation further ensures efficient use of vehicles and drivers, reducing waste while maximizing productivity.
Addressing Key Last-Mile Challenges
According to a recent ORTEC survey, the biggest barriers to last-mile efficiency include traffic congestion (18%), strict delivery windows (20%), and vehicle capacity constraints (22%). Additionally, unnecessary mileage was identified by 22% of companies as a significant cost driver. ORTEC’s platform directly tackles these challenges, empowering businesses to lower fuel consumption and costs while maintaining superior delivery performance.
The solution’s adaptability sets it apart. With 70% of companies adjusting routes on the fly and 39% making multiple changes daily, the need for flexible and reliable tools is greater than ever. Nearly half of businesses have expressed dissatisfaction with their current route optimization tools, underscoring the demand for smarter technologies like ORTEC’s Last Mile Solutions.
A Holistic Framework for Operational Control
ORTEC employs a six-step framework to optimize the entire delivery process, from demand prediction to real-time monitoring and continuous improvement.
- Prediction: Historical data forecasts demand and sets capacity expectations.
- Simulation: Businesses prepare for operations by modeling outcomes.
- Customer Booking: Customers select delivery slots.
- Scheduling: Efficiently plan the operations day.
- Execution: Real-time transparency ensures smooth execution and monitoring.
- Continuous Improvement: Intelligent analytics refine operations over time.
Industry Recognition
Mat Witte, CEO of ORTEC Americas, shared insight into the impact of AI on logistics, stating, “With businesses under pressure to enhance efficiency, reduce costs, and meet customer expectations, AI emerges as a game-changer for minimizing inefficiencies and strengthening resilience. Companies using smarter route optimization are seeing improvements in accuracy and consistency thanks to data-driven decisions.”
Thanking SupplyTech Breakthrough for the recognition, Witte emphasized ORTEC’s mission to continue integrating AI into its Last Mile Solutions to help businesses overcome delivery challenges, lower fulfillment costs, and provide an exceptional customer experience.
This sentiment was echoed by Bryan Vaughn, Managing Director of SupplyTech Breakthrough Awards, who said, “ORTEC’s Last Mile Solutions redefine operational efficiency and cost-effectiveness while modernizing last-mile delivery. It is a transformative solution that makes logistics seamless, sustainable, and customer-centric.”
Driving Innovation and Sustainability
With logistics costs on the rise, ORTEC’s AI technology supports sustainability goals by optimizing fuel usage and minimizing carbon footprints, while also adapting to future business growth. By combining cost savings, operational excellence, and environmental responsibility, ORTEC’s Last Mile Solutions pave the way for scalable and sustainable logistics.
Businesses aiming to refine their last-mile processes can look to ORTEC as a benchmark for innovation and customer-centric solutions in logistics.
Image Source: ORTEC
Source: AJOT
