EquipmentWatch Awards Announced – Highest Retained Value and Lowest Cost of Ownership. See which manufacturers made the cut! LEARN MORE

EquipmentWatch Labs

Labs is where we experiment and build prototypes of new data decision tools. Brave enough to be a BETA user?

Rental Decision Point – Long Term Fleet Planning

Building on the Rental Decision Point articles and downloadable Resource Guide, we have built a new Excel-based prototype tool that allows a user to understand the optimal time to use a rented machine vs. an owned machine, based on varying levels of usage per year.

Accepting New BETA Users: Yes
Ideal for:
equipment managers, rental fleet managers
Data Types Used: ownership and operating cost data, retail rental data
Data Entry: inputs from user, EquipmentWatch data via API
End of Test Access: Q1 2018

Rental Analysis for Projects – Short Term Fleet Planning

We have built a new Excel-based prototype tool that allows a user to complete a full analysis of optimal machine use for an upcoming project. For each machine in a supplied schedule, the user is asked to supply days onsite and hours of machine use, after which a rent vs. use owned recommendation is given.

Accepting New BETA Users: Yes
Ideal for:
equipment managers, rental fleet managers
Data Types Used: ownership and operating cost data, retail rental data
Data Entry: inputs from user, EquipmentWatch data via API
End of Test Access: Q1 2018

Rental Gross Margin – Rental Profitability Analysis

The traditional ARA metrics focus primarily on revenue understanding, yet no insights into actual profitability per rented hour exists. We have built a new Excel-based prototype which allows a user to identify the actual profitability per rented machine hour.

NOTE: this prototype does require web access to calculate cost per hour. A future BETA version is scheduled that will automate that process, pending user feedback.

Accepting New BETA Users: Yes
Ideal for:
rental fleet managers
Data Types Used: ownership and operating cost data, invoiced rental revenue data (from user)
Data Entry: inputs from user, EquipmentWatch data via web app
End of Test Access: Q1 2018