Fleet logistics is no small feat— especially when you’re dealing with a mixed fleet of iron across multiple locations. That’s why the ability to capture all the agronomic and machine-ready data — at scale and in real-time — is so vital. Two ag retailers share how data is improving their bottom line.

March is here and the clock is ticking in preparation for spring field work. What if you could do just one thing different with this season to increase margins and add dollars to your fleet’s bottom line? You can — there’s time before the season hits.

Baseline agronomic and machine data shows, on average, ag retail machines spend only 25 to 35% of the time working, while 65 to 75% is spent idling and transporting-to or turning-in a field. That costs ag retail fleets money (and a drag on equipment depreciation), but real-time data is changing that.