How to Make Smarter Decisions About Developing KPIs for distributor performance tracking

In the building materials distribution world, logistics is mission-critical. It’s what gets products to the jobsite on time, keeps contractors happy, and protects margin. But as operations scale, leaders often face a difficult choice:

Should you manage logistics in-house—or outsource it to a third-party provider?

This case study walks through how one building supply distributor evaluated, tested, and ultimately decided on the best logistics model for its business—and what you can learn from their experience.

The Company: Regional Building Supply (RBS)

Overview:

A mid-sized building materials distributor with 6 branches across 3 states

Products: Lumber, drywall, roofing, and specialty fasteners

Contractor-focused, with 75% of orders delivered to jobsites

Operating its own fleet of 30 trucks, 7 days a week

The Challenge: Scaling Logistics With Rising Costs

As RBS expanded into a new metro area, leadership faced mounting challenges:

Fuel, insurance, and fleet maintenance costs were rising

Driver shortages were leading to missed deliveries

Jobsite delays and reschedules were causing inefficient routing

New markets had different delivery expectations and zoning restrictions

They realized their current in-house model might not scale efficiently—and it was time to ask a hard question: Outsource or invest further in logistics infrastructure?

The Approach: Pilot Test Both Models

RBS decided not to guess—they tested both models in parallel.

In-House (Control Branch A):

Retained their own drivers and vehicles

Added a dispatcher for improved routing

Installed GPS tracking for delivery visibility

Invested in fleet maintenance upgrades

Outsourced (Test Branch B):

Partnered with a regional third-party logistics (3PL) provider

Shared daily delivery windows, materials specs, and contractor contacts

Integrated order tracking with their ERP for customer transparency

Paid per stop with fuel surcharge clauses

The Metrics Tracked:

On-time delivery rate

Cost per delivery

Contractor satisfaction (NPS)

Delivery error rate

Driver turnover and reliability

Flexibility for same-day or emergency jobs

The Results (90-Day Pilot)

MetricIn-House (Branch A)Outsourced (Branch B)

On-Time Delivery Rate89%95%

Cost per Delivery$92$85

Delivery Errors4.5%2.1%

Contractor Satisfaction NPS6278

Flexibility for Same-DayModerateHigh

Internal Management OverheadHighLow

Key Insights:

✅ Outsourcing Worked Better for Urban and High-Volume Routes

The 3PL provider had route density, professional dispatching, and better access to urban locations—delivering faster and cheaper than RBS’s in-house fleet.

✅ In-House Performed Better for Complex Jobsite Coordination

On large residential projects where drivers needed to be familiar with jobsite nuances and staging, in-house teams offered more consistency and direct communication.

✅ ERP Integration Was Crucial Either Way

Outsourced logistics only worked because RBS integrated the 3PL into their ERP, allowing for tracking, proof of delivery, and issue resolution in real time.

✅ Labor Reliability Was a Deciding Factor

Outsourcing helped avoid driver hiring and retention challenges, especially in newer markets where RBS lacked brand recognition or recruiting networks.

The Final Decision: A Hybrid Model

RBS adopted a hybrid approach moving forward:

Urban markets and overflow capacity: Outsourced to vetted 3PLs

Rural and high-touch deliveries: Retained in-house fleet

Emergency/expedited jobs: Split based on availability and delivery zone

Shared KPIs and service standards: Across both models for consistency

Conclusion: There’s No One-Size-Fits-All

The RBS case study shows that the “right” logistics model depends on:

Your customer expectations

Route density and geography

Cost structure and fleet capability

Internal logistics expertise

Scalability needs as you grow

Outsourcing isn’t always cheaper. In-house isn’t always better. But data, pilot testing, and flexibility will help you choose the model that supports service excellence and profitability.

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