YAT provides a decision engine that utilizes proprietary algorithms and machine learning to optimize pricing strategies and enhance capacity utilization in the freight brokerage sector. This technology addresses cost variability and service availability challenges faced by shippers and carriers by creating a unified data platform for real-time decision-making.
Funding
Funding not disclosed
Founders
Product
Problem
Freight brokerages face challenges in optimizing pricing and capacity utilization due to cost variability and service availability issues. Fragmented data and a lack of real-time insights hinder effective decision-making for shippers and carriers.
Solution
YAT provides a decision engine that leverages proprietary algorithms and machine learning to streamline pricing strategies and improve capacity management for freight brokerages. The platform creates a unified data environment, enabling real-time visibility and collaboration between sales and operations teams. By integrating various rate bases and historical data, YAT empowers users to make informed decisions on pricing, bidding, and carrier selection. The system's AI-powered segmentation dynamically controls buy rate trends and margins, aligning boardroom priorities with tactical performance.
Target Audience
The primary target audience includes freight brokerages seeking to optimize pricing, capacity utilization, and overall operational efficiency.
Features
- Integrates with DAT, GreenScreens, Sonar, Truckstop, and user's historical data for comprehensive rate analysis
- Offers a unified UI and API for single-source hosting
- Employs AI-powered segmentation to dynamically control buy rate trends and margin by customer and service type
- Provides a Carrier CRM to align carrier procurement with business opportunities in real-time
- Automates lane mapping and offers single-click actions for confident pricing responses in bid management
- Includes a data management tool for cleansing and curating organizational information
- Offers a linear footage calculator for accurate partial pricing