How to Reduce Freight Spend and Improve Carrier Performance with a TMS 

TL;DR: The Impact of a Modern TMS 

  • The Challenge: Supply chain leaders are struggling with rising freight costs and inconsistent carrier service
  • The Solution: A modern Transportation Management System (TMS) digitizes execution workflows by automating load tendering, enforcing real-time carrier scorecarding, and providing predictive visibility
  • The ROI: Implementing a TMS allows enterprises to optimize routesreduce empty miles, and drastically lower overall transportation spend

What is the fastest way to reduce freight spend using a TMS? 

The fastest way to reduce freight spend is by automating route optimization and leveraging real-time carrier scorecarding within a Transportation Management System. This eliminates manual “spot” spending and ensures loads are consistently tendered to the most cost-effective, high-performing carriers in your network. 

By moving away from reactive spreadsheets and emails, organizations can consolidate shipments and implement multi-stop routing to drastically reduce empty miles. 

How does a TMS improve automated carrier scorecarding and real-time load tendering? 

A modern TMS tracks carrier performance metrics—such as on-time pickup/deliverytender acceptance rates, and accessorial costs—automatically in real-time. During the load tendering process, the system uses these dynamic scorecards to automatically offer freight to the best-fit carrier based on contracted rates and historical reliability. 

This ensures you are rewarding your best carriers with volume while simultaneously protecting your supply chain from chronic underperformers. Key benefits include: 

  • Automated Tendering: Eliminates manual phone calls and emails by broadcasting loads directly to carrier networks. 
  • Objective Scorecarding: Replaces anecdotal vendor evaluations with hard, undeniable performance data
  • Exception Management: Automatically alerts dispatchers only when a load is at risk of delay, moving from reactive to predictive visibility. 

Evaluating Transportation Management Workflows: Legacy vs. Modern Execution 

When comparing transportation management strategies, the difference between legacy tools and a dedicated execution platform becomes clear in the daily workflows. 

Capability Legacy / Manual Process Modern TMS Execution 
Load Tendering Manual emails, phone calls, and static routing guides. Automated, cascading tender offers based on real-time carrier scorecards. 
Visibility Relying on carrier EDI updates or check calls. Real-time GPS tracking and predictive ETA alerts. 
Reporting & Analytics End-of-month, rear-view spreadsheet analysis. Live dashboards tracking dwell time, spend, and carrier compliance. 
Compliance Manual temperature logs and fragmented paperwork. Automated logging for FSMA compliance and cold chain tracking. 

What KPIs will I need to watch to prove the financial ROI of a TMS? 

To prove the financial impact of a TMS implementation, logistics leaders should track cost-per-loadtender acceptance rates, and total accessorial spend. A robust platform will typically pay for itself by optimizing these three specific areas within the first year of deployment. 

The 3-in-1 Impact of Kaleris TMS Optimization: 

  • Freight Cost Reduction: Decreased overall transportation spend significantly through advanced route optimization. By implementing the Kaleris TMS outbound routing module, one leading regional grocer conservatively saved over 10% across total miles driven, driver labor, and equipment costs. 
  • Labor Efficiency: Reduced manual tracking and tendering workflows by hundreds of hours annually. By automating inbound spot bidding, one regional retailer reclaimed hundreds of administrative hours while simultaneously cutting $650,000 in manual shipping costs
  • Asset & Carrier Utilization: Improved turnaround times and asset usage, helping a leading food producer drop loaded reefer dwell times by 40% (134,000 hours). This drove an immediate $471,000 in fuel and maintenance savings while protecting temperature-sensitive freight. 

Moving from Reactive Reporting to Predictive Analytics 

Relying on historical data means you are only solving yesterday’s problems. A robust TMS provides predictive analytics that forecast delays before they happen, allowing your team to proactively reroute freight or adjust dock schedules. By centralizing your execution layer, you gain total control over both your private fleet and outside carriers, ensuring your supply chain remains resilient, cost-effective, and agile.