Freight Analytics Use Cases

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Use Cases by Analysis Type

Transportation data is messy. Third Axiom simplifies it into five key areas to help 3PLs & freight brokers make smarter decisions where it matters most.

Unlock ROI with comprehensive lane performance & profitability analysis.

Lane Scorecards
Rank lanes by volume, margin, and key performance metrics.

Lane Portfolio Performance
Evaluate overall network efficiency and profitability.

Lane Profitability Benchmarking
Compare margins across lanes to identify improvement opportunities.

Optimal Carrier Mix by Lane
Match the best carriers to each lane for cost and service optimization.

Missing Lanes

Know when a lane goes missing, investigate and take action if needed.

Shipment Consolidation
Spot opportunities to reduce costs by consolidating freight.

Customer Leaderboard by Lane
Analyze top customers by lane to create focus and drive strategic growth.

Lane Cost Monitoring
Track cost trends and control expenses at the lane level.

Revenue Forecasting
Predict lane-based revenue to support smarter planning.

Lane Seasonality Trends
Analyze volume and rate fluctuations to anticipate market shifts.

Take the guesswork out of carrier selection with targeted analytics initiatives.

Carrier Scorecards
Rank based on metrics such as on-time rates, service reliability, margin, and more.

Negotiation Support

Leverage data for better carrier contracts.

Cost Efficiency
Identify high-cost carriers and those with the best cost-to-service ratio.

Carrier-to-Lane Optimization
Find the best carriers for each lane.

Carrier Mix

Avoid over-reliance and achieve optimal carrier mix by lane, customer, or item.

New Carrier EvaluationVet new carriers against existing benchmarks.

Accessorial Cost Analysis
Identify the most common and costly accessorial charges to reduce expenses.

Carbon Emissions
Track emissions and fuel efficiency for ESG goals.

Understand your customers like never before with advanced analytics.

Missing Customers

Identify lost or under-engaged customers and develop strategies to win them back.

Customer Profitability
Identify your most profitable customers to focus resources effectively.

Customer Retention
Analyze churn rates and satisfaction to improve retention strategies.

Customer Mix Optimization
Ensure a balanced customer base to minimize risk and maximize growth.

Customer Lifetime Value
Predict long-term profitability and tailor strategies to high-value customers.

Volume Declines

See when customer volume begins to slip and take appropriate action before it's too late.

Customer Behavior Patterns

Analyze historical trends to anticipate future needs such as seasonality or capacity.

Revenue Forecasting by Customer

Project customer revenue to better allocate resources and plan.

Cost-to-Serve Analysis
Measure the true cost of serving each customer to optimize pricing.

Upsell Opportunities

Identify under-served customers and untapped opportunities for expansion.

Customer Segmentation
Group customers by factors like volume, margin, commodities, and more.

Optimize ops & profits with deeper insights into product-level impact.

High-Margin Item Analysis

Identify your most profitable items and focus on driving growth around them.

Cost-to-Serve per Item
Analyze the true cost of handling and delivering each product to optimize pricing strategies.

Demand Forecasting
Predict item demand to adjust inventory levels and prevent stockouts or overstocking.

Item Performance Benchmarking
Compare item-level performance across different regions, customers, or time periods.

SKU Rationalization
Identify low-margin or high-cost SKUs to put cost savings strategies in place.

True Transit Time by Item
Predict transit times for each item to improve forecasting and customer satisfaction.

Shipment Optimization by Item
Optimize load sizes and shipment methods based on item characteristics and demand.

Customer Preferences by Item
Track which items are most popular with specific customer segments to tailor offerings.

Item-Level Return Analysis
Track return rates for individual items to pinpoint quality or pricing issues.

See how your sales teams perform across a variety of key metrics.

Team Performance Scorecards
Evaluate team members’ performance based on key metrics like volume, costs, and margins.

Carrier Utilization by Team
Identify which carriers are used most often and assess opportunities for optimization.

Loads Won vs Lost
Analyze the number of sales closed versus quoted and average deal size.

Lost Margin Analysis

Know where your team is leaving money on the table to close efficiency gaps.

Team Resource Allocation
Assess how team resources are allocated to customers and lanes for maximum impact.

Carrier Performance by Team
Evaluate how different sales teams manage carrier relationships and performance levels.

Have another analytics initiative in mind? Reach out & ask us about it.

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