FLD Hires Bishop as Sr. Marketing Analyst
FLD, Inc., a privately-held automobile remarketing company, has announced the hire of Bill Bishop as senior marketing analyst.

BISHOP
FLD, Inc., a privately-held automobile remarketing company, has announced the hire of Bill Bishop as senior marketing analyst.

BISHOP
Bishop has more than 22 years of experience in the medium, heavy truck, and automotive industries, allowing him to better serve and understand customer needs on a global scale. Prior to joining FLD, Bishop worked with the KAR Auction Services Group (NYSE KAR), where he served as Executive Director of Heavy Truck and Equipment at ADESA Specialty Auctions. Bishop also previously served as national sales manager at Insurance Auto Auctions, Inc. (IAA), where he lead the unique division of remarketing specialty assets which encompassed a wide spectrum from heavy trucks and trailers to forestry equipment, construction vehicles, boats, RVs and even special effects equipment. Prior to his work at IAA, Bishop worked at The Kriete Group in Wisconsin and Minnesota. He also was the regional manager with Budget Car and Truck Rental.
“Bill’s extensive background in remarketing in the medium, heavy duty truck and automotive industry proves that he will be a great asset to FLD,” said Gary Mott, vice president of FLD. “His experience with a range of specialty vehicles on a global scale will provide FLD with marketing analysis that will be innovative, effective and efficient for our clients.”
Bishop earned his bachelor’s degree in business from the University of Minnesota.
For more information about FLD, visit www.fleetlease.com or call (800) 754-1522.
RELATED CONTENT:
More Operations

Used EVs Strengthen Overall Electric Vehicle Market
The latest sales data point to several reasons for the divergent trends in new and used EVs that can factor into fleet cycling decisions.
Read More →
The Data-Driven Haul: 5 Ways AI is Leveling the Playing Field in Auto Transport
Large and small transport fleets are becoming more competitive as predictive analytics and real-time data inform the logistics decision chain.
Read More →
How to Speak the Same Language on Fleet Safety
Drivers, supervisors, and data often speak different safety “languages.” Getting on the same page will drive better results.
Read More →
2026 CAR Awards Celebrate Industry Excellence
CAR’s annual Fleet Remarketing Awards opened a reimagined 2026 conference designed to bridge the worlds of fleet management and automotive remarketing.
Read More →
The Predictive Pivot: How AI and Data Are Redefining Auto Logistics in 2026
AI is no longer a luxury but the baseline for profitability in 2026. Auto haulers that adopt these tools now will quickly outpace those using manual workflows and taking a wait-and-see approach.
Read More →
The Predictive Pivot: How AI and Data Are Redefining Auto Logistics in 2026
AI is no longer a luxury but the baseline for profitability in 2026. Auto haulers that adopt these tools now will quickly outpace those that use manual workflows or take a wait-and-see approach.
Read More →
CAR 2026 Recap Part 2: Closing the Gap Between Data & Remarketing Value
The second half of CAR 2026 examined how fleets can translate lifecycle strategy, vehicle data, and market shifts into higher real-world results.
Read More →
CAR2026 in Two Words: Velocity, Value (Part 1)
The 2026 Conference of Automotive Remarketing convened with a mandate to involve a new constituency — fleet managers — and an updated mission to demonstrate unrealized value in de-fleeted vehicles.
Read More →
CAR 2026: Get the Wall Street Update on the Key Players in Remarketing
From a Wall Street analyst's take on remarketing's key players to whether fleets need their own version of Carfax, CAR 2026's afternoon roundtables will answer key operational and industry questions.
Read More →
CAR 2026 Session to Uncover the Missing Data That's Costing Fleets at Disposal
Work trucks lose value at remarketing, not because they aren't worth more, but because the data to prove it rarely makes it to the auction.
Read More →