What is GoRPM ?

The GoRPMĀ® Enterprise Software Solution equips organizations with the tools necessary to collect, unify, analyze, manage, and interpret their investments in real estate, personal property, and facilities. Utilizing GoRPM enables businesses to make data-driven decisions informed by insights on asset inventories, strategic positioning, logistics of movement, space utilization, condition assessments, sustainability efforts, financial evaluations, and budget forecasting. This platform seamlessly integrates and manages a variety of real estate inventory data, including geospatial components such as maps and floor plans, all accessible through a single, user-friendly interface. It supports the effective management of space allocations, cost centers, and vacant areas, maximizing the returns on crucial capital investments for organizations. In addition, by synthesizing various data related to facilities, businesses can produce vital intelligence that fosters a comprehensive analysis of their portfolio's performance, thereby improving operational efficiency and aiding in strategic planning. Ultimately, GoRPM empowers organizations to enhance their decision-making processes and optimize their property management strategies.

Integrations

No integrations listed.

Screenshots and Video

GoRPM  Screenshot 1

Company Facts

Company Name:
R&K Solutions
Date Founded:
1984
Company Location:
United States
Company Website:
www.rksolutions.com

Product Details

Deployment
SaaS
Windows
Training Options
Documentation Hub
Online Training
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

GoRPM Categories and Features

GIS Software

3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis