# How Godfrey Trucking Modernized Its Fleet Strategy > Canonical source: [How Godfrey Trucking Modernized Its Fleet Strategy](https://link-x.ansr.site/how-godfrey-trucking-modernized-its-fleet-strategy/) For decades, Godfrey Trucking has been known for reliability and being a carrier of choice among drivers, handling both TL (truckload) and LTL (less-than-truckload) freight with a diverse fleet of more than 130 tractors and 450 trailers. (Link-X) yBut as operations expanded, leadership faced a challenge: while they could measure overall cost per mile (CPM), […] ![How Godfrey Trucking Modernized Its Fleet Strategy](https://link-x.ansr.site/assets/migration/423d9b25a1a4-How-Godfrey-Trucking-Modernized-Its-Fleet-Strategy.jpg) By Link-X For decades, Godfrey Trucking has been known for reliability and being a carrier of choice among drivers, handling both TL (truckload) and LTL (less-than-truckload) freight with a diverse fleet of more than 130 tractors and 450 trailers. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) yBut as operations expanded, leadership faced a challenge: while they could measure overall cost per mile (CPM), they couldn’t break that down by specific fleet segments — such as by manufacturer or vehicle type. Without that visibility, inefficiencies lurked beneath the surface. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) ## The Challenge: Hidden Costs, Mixed Fleet, Unclear Insights Godfrey’s fleet was composed of trucks from all major manufacturers, due to driver preferences, varying routes, and a broad mix of load requirements. Yet this diversity came with hidden costs: some trucks cost more to operate than others. Because they lacked a clear breakdown of operating expense by asset type, Godfrey couldn’t reliably know which trucks were dragging down their efficiency or profitability. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) As pressure grew to potentially consolidate the fleet around a single make and model — to standardize maintenance and operations — Godfrey needed more than gut feeling. They needed hard data. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) ## The Solution: Link-X Analytics + Full Data Consolidation That’s where Link-X came in. The platform consolidated all of Godfrey’s critical data sources — fuel use, preventive maintenance, repairs, telematics, and depreciation — into one unified system. Link-X ingested four years of historical data and delivered a comprehensive CPM analysis by manufacturer across the full lifecycle of each asset. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) With that insight, the Godfrey team discovered that while most tractors operated within a narrow CPM range, a subset from certain manufacturers cost them $0.11–$0.12 per mile more than the lower-cost models. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) ## The Results: Smarter Decisions and Real-World Savings Armed with these analytics, Godfrey could make data-backed decisions instead of relying on assumptions. They decided to shift future acquisitions away from the higher-cost manufacturers — a strategic change that for just 15 tractors resulted in estimated $20,000 savings per tractor per year. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) More broadly: - The company gained a full, accurate view of total cost per mile (fuel, maintenance, depreciation, etc.) rather than just aggregate CPM. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) - They eliminated high-cost assets from their fleet, improving overall efficiency. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) - Management shifted from reactive fixes to strategic, proactive fleet decisions — more agile, more cost-conscious, and better aligned with long-term sustainability. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) ## Why It Matters: The Power of Data-Driven Fleet Management The success of Godfrey Trucking echoes a broader trend: using analytics to transform fleet operations from art to science. Modern fleet analytics — combining telematics, maintenance data, fuel logs, and vehicle usage — gives companies the power to: - Predict maintenance, rather than simply reacting to breakdowns. ([ezlogz](https://ezlogz.com/blog/truck-fleet-data-analytics/?utm_source=chatgpt.com)) - Optimize total cost of ownership, by analyzing not just purchase price but fuel, repairs, depreciation, and lifecycle costs. ([Fleet Advantage](https://www.fleetadvantage.com/truck-data-analytics?utm_source=chatgpt.com)) - Make strategic fleet composition decisions: what kinds of trucks to acquire, when to retire older assets, and which assets provide the best return on investment. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) - Monitor fleet performance in real time — enabling quick course corrections rather than waiting for quarterly or annual reports. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) In today’s competitive logistics and transportation industry, this kind of clarity isn’t optional — it’s essential. ## Looking Ahead: Building a More Efficient, Resilient Fleet Because of the insights enabled by Link-X, Godfrey is now positioned to move forward with a more strategic and nimble fleet acquisition strategy. They can avoid costly vehicles, invest in the most efficient assets, and make decisions that positively impact their bottom line long-term. ([Link-X](https://link-x.ansr.site/godfrey-trucking-case-study/)) By shifting to data-driven fleet management, they’re not just cutting costs — they’re investing in reliability, efficiency, and sustainability. And in an industry where margins are tight and operational cost control is critical, that makes all the difference.