Articles Tagged with ''technology''

George Russell
Technology for Profit

Article Rewind: What We’ve Covered So Far

I began writing a regular column in 2009 under the banner “Planning for Profits,” which focused on ways progressive farm equipment dealers can improve their bottom lines. In early 2012, the editorial focus changed to “Technology for Profits” — that is how dealers can and should use technology profitably. This list responds to dealers who have asked for copies to previously published articles.
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ahead of curve

Ahead of the Curve: Autonomous Field Operations are Here

Farm tractor auto-steer technology was conceived initially to relieve operator stress and improve precision equipment tracking. Over the past 20 years, it has been quietly developing and gestating to a point that it’s nearly ready to give birth to full-scale automated field operations where the number of humans required “in the cab” will soon be dwarfed by the number of machines “in the field.”
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George Russell

Technology for Profit: Automating the Service Department of the Future

Service is without a doubt the most expensive department to operate. It occupies the most space in the dealership so it has the highest occupancy costs (heat, light, power, rent/amortization, etc.); it also employs the most people, and has the highest operating costs. This is particularly true when you include the costs associated with field service vehicles, special diagnostic tools and consumables used in repairs.
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Customer Intelligence Special Report: CRM

Predictive Analytics — Applicable to Farm Equipment Dealerships?

A large industry is evolving that is attempting to collect and analyze data to predict and expand future sales. It’s not just in the car business, but in almost every major industry. That’s because technology now exists to anonymously track the Internet habits of millions of customers. By combining this with what is already known about the average buying habits of consumers and utilizing CRM tools, targeted marketing programs can be sent to likely customers early in the purchasing process.
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