Emerge Benchmarking Helps Shippers Optimize Freight with Data

Emerge Benchmarking leverages machine learning to provide shippers with real-time freight market insights, optimizing procurement decisions, reducing costs, and improving efficiency. By using data-driven approaches, shippers can gain a deeper understanding of market trends and make more informed freight decisions. This leads to better negotiation strategies, improved carrier selection, and ultimately, a more streamlined and cost-effective supply chain. Emerge Benchmarking empowers shippers with the knowledge they need to navigate the complexities of the freight market successfully.
Emerge Benchmarking Helps Shippers Optimize Freight with Data

In today's globalized economy, the freight market operates as a rapidly evolving stage where multiple factors collide, creating price fluctuations that obscure procurement decisions for shippers. Facing information asymmetry, market uncertainty, and intensifying competition, shippers often struggle to assess whether current rates are reasonable or anticipate future market trends.

Traditional freight procurement models relying on experience, relationships, and limited market intelligence prove increasingly inadequate in this complex environment. Shippers require innovative solutions that break down information barriers and provide real-time, comprehensive market insights to navigate these challenges effectively.

The Emerge Benchmarking Solution

Emerge, a technology company specializing in freight industry innovations, has developed its Emerge Benchmarking solution to address these market challenges. As part of Emerge's Request for Proposal (RFP) platform, this machine learning-powered tool aggregates freight data from multiple trusted sources to deliver actionable business intelligence and market analysis.

Unlike simple price comparison tools, Emerge Benchmarking functions as a sophisticated data engine that provides multidimensional analysis, enabling shippers to:

  • Monitor real-time market dynamics and adjust procurement strategies accordingly
  • Identify underperforming lanes with pricing below market levels
  • Make informed decisions based on current, actionable data
  • Access consolidated market intelligence through a single platform

Addressing Market Volatility Through Data

Andrew Leto, Emerge founder and CEO, emphasizes that current freight market volatility served as the primary catalyst for developing Benchmarking. "In an environment where rates and capacity change dramatically, shippers need real-time, actionable business intelligence to make data-driven procurement decisions," Leto explained.

"Emerge Benchmarking provides the actionable intelligence shippers need to navigate today's volatile freight market. This represents just one of several product enhancements we're developing to support data-driven decision making, with additional predictive analytics solutions planned for later this year."
— Andrew Leto, Founder & CEO of Emerge

The platform's value lies in its ability to replace historical data and subjective judgment with real-time analytics. By processing vast datasets through machine learning algorithms, Emerge Benchmarking provides continuously updated market perspectives that help shippers optimize their procurement strategies.

Key Advantages of Emerge Benchmarking

The platform's competitive differentiation manifests in several critical areas:

Real-Time Market Intelligence

Unlike traditional methods, the solution tracks market movements as they happen, allowing shippers to secure capacity before rate increases or adjust contracts during market declines.

Precision Problem Identification

The system pinpoints specific underperforming lanes, enabling targeted interventions like mini-bids to optimize rates without unnecessary resource allocation.

Data-Informed Decision Making

By eliminating guesswork and personal bias, the platform facilitates objective carrier selection based on comprehensive rate, service quality, and reliability comparisons.

Unified Platform Efficiency

Consolidating market rates, carrier information, and contract terms into a single interface significantly reduces time spent gathering and reconciling data from multiple sources.

Practical Applications

Leto illustrated the platform's functionality with a practical example: users can compare specific lane pricing against market averages at any time. This immediate benchmarking allows for timely rate adjustments across various procurement cycles—whether quarterly, biannual, or annual.

For instance, an electronics manufacturer could use the platform to monitor nationwide shipping rates. Upon discovering above-market pricing on certain routes, the company could promptly negotiate with carriers or initiate targeted bids to secure more competitive rates.

Beyond rate optimization, the solution assists with contract term refinement. Historical data analysis helps shippers develop more adaptive agreements, including mechanisms for periodic rate adjustments that account for market fluctuations.

Industry Recognition

Steve Banker, Vice President at ARC Advisory Group, noted the technical sophistication required for effective benchmarking: "Achieving what Emerge has accomplished demands three critical components—a public cloud architecture, user consent for data aggregation that protects confidentiality, and network effects from analyzing billions in transportation spend. Emerge has successfully integrated all three elements."

The company's growth trajectory—including recognition by Inc. as the Southwest's second fastest-growing company—reflects market validation of its approach to freight procurement innovation.

Future Developments

Emerge plans continued investment in platform enhancements, including expanded data sources, refined machine learning algorithms, and new predictive analytics capabilities. These developments aim to further empower shippers with forward-looking market insights and strategic procurement tools.

As freight markets grow increasingly complex, solutions like Emerge Benchmarking provide shippers with the data transparency and analytical precision needed to optimize costs, improve efficiency, and maintain competitive advantage in uncertain market conditions.