Transforming Logistics with the ATLAS AI TMS
Batch Freight, a leader in logistics innovation, is poised to revolutionize supply chain operations with the launch of its next-generation Transportation Management System (TMS), known as ATLAS. With a significant investment of $200 million, this state-of-the-art system has been rigorously tested, managing over 750,000 shipments. The upcoming subscription-based offering of ATLAS is expected to be available to enterprise shippers and brokerages in early 2025.
What Makes ATLAS Stand Out
ATLAS utilizes advanced artificial intelligence (AI) and machine learning (ML) technologies, aiming to streamline the entire shipment lifecycle. By minimizing human intervention, ATLAS sets itself apart by providing the best human-to-machine interface for drayage and truckload operators. This innovative system helps users automate and optimize their shipping processes with remarkable efficiency.
Key Features of ATLAS
Among ATLAS's standout features is its intelligent pricing algorithm, which leverages a sophisticated Gradient Boosted Decision Tree model. This technology evaluates more than 650 signals extracted from years of historical data to determine the optimal price for each load. Users benefit from enhanced unit economics and improved network throughput, receiving precise carrier cost estimates in real time during the load creation process.
Load Optimization with Smart Jobbing
ATLAS's 'Smart Jobbing' feature exemplifies innovative load optimization. It cleverly bundles multiple loads into a single job, enhancing routing efficiency. According to Batch Freight's Chief Technology Officer, Mirna Kusalovic, the ATLAS algorithms manage appointments and facilitate matches between outgoing and incoming loads. This attention to detail takes into account terminal restrictions and operational hours, driving more revenue for carriers while reducing unnecessary carbon emissions.
Boosting Operational Excellence
To ensure operational excellence, ATLAS incorporates dispatch algorithms that analyze historical driving data and safety records. This process guarantees the best carrier is matched to each load, ensuring optimal delivery times and enhancing overall service levels.
Addressing Supply Chain Inefficiencies
In the drayage and truckload sectors, shipments often encounter accessorials or exceptions that can disrupt the supply chain. ATLAS effectively tackles this issue through real-time tracking and automated predictions of these events. The system’s capability to capture changes in shipment status allows users to bill customers accurately and expedite carrier payments effortlessly.
Streamlining Document Processes
Document verification can be a cumbersome task in logistics, but ATLAS simplifies this with machine learning technology — specifically optical character recognition (OCR). This feature automatically detects discrepancies in load documentation, allowing users to address errors collaboratively with carriers and facilities, thus transforming a typically tedious reconciliation process into a seamless operation.
Integration and Connectivity Features
Beyond its core capabilities, ATLAS boasts a system integrated with advanced automation tools. These include warehouses and terminal integrations, real-time GPS tracking, and geofenced notifications for arrivals and departures. These features ensure that stakeholders in the supply chain remain informed and connected, fostering collaboration throughout the entire shipment journey.
The introduction of Batch Freight's ATLAS TMS marks a pivotal change in the logistics management landscape. With its focus on automation and AI, users can anticipate a dramatic boost in efficiency, significant cost reductions, and improved levels of service.
About Batch Freight
Batch Freight is the parent company of NEXT, CDL, and Hickory Transportation Services. Committed to redefining the logistics landscape, Batch Freight leverages cutting-edge technology to enhance operational efficiency and streamline processes within the industry. Their dedication to innovation in AI and machine learning empowers shippers and brokerages to excel in an increasingly competitive market.
Frequently Asked Questions
What is the main purpose of the ATLAS AI TMS?
The ATLAS AI TMS is designed to streamline and automate the shipment lifecycle for logistics operations, enhancing efficiency and productivity.
How does the intelligent pricing feature work?
ATLAS's intelligent pricing algorithm evaluates numerous signals from historical data to determine the most equitable pricing for each load.
What is 'Smart Jobbing' in ATLAS?
Smart Jobbing is a feature that combines multiple loads into one job, optimizing routing and increasing revenue for carriers.
How does ATLAS handle document validation?
ATLAS employs optical character recognition (OCR) to automatically check for discrepancies in load documentation, making the validation process more efficient.
Can ATLAS improve supply chain communication?
Yes, ATLAS integrates various tools that facilitate real-time communication among all stakeholders throughout the shipment process.
