Related: Order-to-Delivery Times for 2017 Models Remain Stable
Chevrolet Colorado Showed Fastest Truck Order-to-Delivery for 2017
The Chevrolet Colorado truck logged the fastest order-to-delivery (OTD) time among trucks in the 2017 model-year, averaging 64 days, a 17-day improvement over 2016 figures.

Photo of the 2017 Colorado courtesy of Chevrolet.

Photo of the 2017 Colorado courtesy of Chevrolet.
The Chevrolet Colorado earned the distinction of having the fastest order-to-delivery (OTD) time in the 2017 model-year, averaging 64 days from the time a Colorado order was placed with the OEM to when the vehicle was delivered to a dealer.
Truck OTD was calculated from order placement to delivery to an upfitter or, if no upfitting was required, to a dealer. The days spent at an upfitter were not included in truck OTD times.
The finding came as part of the results of Automotive Fleet's annual OTD survey jointly completed with nine fleet management companies. The survey also ranked OTD times for cars, vans, and SUVs.
The participating fleet management companies were ARI, Donlen, Element Fleet Management, Emkay, LeasePlan USA, Merchants Fleet Management, Mike Albert Fleet Solutions, Union Leasing, and Wheels Inc. The OTD survey tracked deliveries of 137,034 new vehicles during the 2017 model-year that were comprised of 103 different models.
More Operations
What Fleet Managers Really Want From Vendors
From customer service frustrations and technology breakdowns to RFQs, change management, and the growing impact of turnover across the industry, this conversation pulls back the curtain on the real operational challenges fleet managers are navigating every day.
Read More →Fleet Safety Masterclass: Industry Leaders on Storytelling, Strategy & Innovation
In this special masterclass episode, industry leaders break down what it really takes to build safer fleets in today’s increasingly distracted and data-driven world.
Read More →Integrating Legacy Fleet Systems and Historical Data
In this episode, we bring together fleet and technology leaders to unpack the realities of data integration, system migrations, and the evolving role of AI in fleet management.
Read More →From Resistance to Results: Change Management Strategies for Fleets
From new technologies and safety programs to evolving regulations, fleets are under constant pressure to adapt. But as Dr. Betz explains, success isn’t about the system you implement—it’s about whether your people actually use it.
Read More →Where We're Headed: A Practical Look at AI in Fleet
Discover how AI is actually being deployed in fleets, not just marketed, including practical use cases and emerging risks.
Read More →
How Coca-Cola United Protects Its Fleet from Growing Legal Risk
Growing legal exposure can put fleets at risk. Here's one company's approach.
Read More →
Fleet Managers Think They Understand Their Costs. The Data Says Otherwise.
Most fleet managers say they have a strong handle on their costs, but new research from Bobit Business Media tells a different story. A 2026 survey of 190 fleet professionals reveals a widespread "confidence gap" where fragmented systems, disconnected data, and delayed reporting are leaving major blind spots hidden beneath the surface. Find out what the data actually shows.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-Time Prevention (Part 2 of 2)
Part Two: Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Continue learning more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab
Read More →
New Trucks, AI & Summer Downtime | AF News Recap
From new truck updates to AI-powered driver coaching and summer maintenance tips, this week's fleet headlines are all about keeping things moving.
Read More →
Beyond Utilization Rates: Smarter Fleet Replacement Decisions
Vehicle replacement decisions affect every aspect of fleet performance, from operating costs to asset availability. This guide explores how fleet leaders use integrated data, benchmarking, and lifecycle analytics to determine the right fleet size and optimize replacement timing with greater confidence.
Read More →

