Network Optimization For Shippers

Optimize your shipping network to reduce costs, improve service, and unlock operational efficiency through data-driven analysis of lanes, carriers, and service levels.

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Optimize Your Network
Maximize Savings

The Challenge

Shipping networks grow complicated fast — multiple carriers, rising costs, inconsistent performance, and scattered data. Most shippers know their network can perform better, but they don't have the time, tools, or visibility to fully understand where the opportunities are.

Our Solution

Stride Datus changes that. We analyze your entire network and show you exactly how to lower your cost, improve service, and unlock operational efficiency — backed by accurate data, standardized processes, and deep logistics expertise.

Our Services

What You Get

Comprehensive network analysis and optimization services designed to reduce costs, improve service, and unlock operational efficiency.

Carrier & Mode Optimization

We map all lanes and shipment patterns to identify the most cost-effective carrier for each lane, opportunities to shift modes (courier, LTL, consolidation), service levels that match real needs, and where volume should be rebalanced to reduce spend.

Zone Skip & Consolidation Modeling

We simulate multiple induction strategies to find where you can consolidate shipments, where zone skipping reduces overall cost, cross-border solutions that minimize fees, and optimal routing for Canadian and U.S. destinations.

Accessorial Fee Optimization

We identify accessorial charges that do not need to exist, and fix the causes: residential surcharges, delivery area or beyond charges, oversized or dimension-based fees, manual handling or correction charges, and misapplied or inconsistent billing.

Transit Time & Service Performance Optimization

We compare your actual delivery performance across carriers and lanes to show which carriers consistently underperform, where service levels do not match business needs, which transit-time–based decisions reduce failures, and how to reduce late delivery risk and downstream costs.

Scenario Modeling

Instantly test the impact of key decisions: changing carriers, opening or relocating a warehouse, scaling volume up or down, adjusting service levels, and introducing new delivery regions. Every scenario shows the impact on cost, service, and margin.

Clean, Standardized Data

Your raw shipping data (PDFs, spreadsheets, EDI files, multiple carriers) becomes one clean and consistent data table, a single source of truth, and a dataset you can finally trust.

Return on Investment

Where the ROI Comes From

Shippers benefit in four major areas through smarter network optimization, data-driven decisions, and operational efficiency improvements.

1. Lower Transportation Spend

Savings come from:

  • • Choosing the most cost-effective carrier for each lane
  • • Switching modes (courier ↔ LTL ↔ consolidation)
  • • Eliminating overpaying on premium services
  • • Using the right induction points (zone skipping)
  • • Reducing unnecessary shipments or split shipments
  • • Consolidating volume to unlock better contract terms
  • • Identifying and reducing accessorial fees (residential, beyond, extended area, oversized charges)
  • • Fixing root causes of accessorial triggers (address quality, packaging, service mismatch)
  • • Catching and stopping carrier billing errors
  • • Minimizing manual handling or rework fees

2. Operational Efficiency Gains

Savings come from:

  • • Less manual data cleanup
  • • Faster costing and lane analysis
  • • Automated rating and comparison
  • • Faster RFP preparation
  • • Lower analyst workload → same team handles more volume
  • • Eliminating Excel-heavy processes

3. Improved Service Reliability

Savings come from:

  • • Reducing late deliveries that cause customer complaints
  • • Preventing expedited reships
  • • Lower cost-to-serve due to fewer delivery failures
  • • Choosing carriers based on actual performance per lane

4. Strategic Improvements & Avoided Costs

Savings come from:

  • • Reducing landed cost for key customer regions
  • • Supporting geographic expansion with the right network design
  • • Avoiding poor contract decisions
  • • Better margin control due to more accurate cost models
  • • More competitive pricing to customers

Ready to Optimize Your Network?

Contact us today to discuss how we can optimize your shipping network, reduce costs, and improve efficiency through data-driven network analysis.