Data-A Data-driven Tool For
Organizing Commercial
Property Lease Flow

client
Client:
(Re)Meter
Country:
Panama, Yardley
Core technologies:
Angular / .Net Framework / MS SQL...
Industry:
Commercial Real Estate

Data-A Data-driven Tool For
Organizing Commercial
Property Lease Flow

client
Client:
(Re)Meter
Country:
Panama, Yardley
Core technologies:
Angular / .Net Framework / MS SQL...
Industry:
Computer Software

Product Background

(Re)Meter was established by commercial real estate veterans to help owners, brokers, and asset managers to find reliable tenants, visualize trends, perform comparisons, deal modeling, and make quick, profitable leasing decisions based on outstanding data.

Challenge

As the software was built 6 years ago, our mission was to update the tech stack for better performance and support.

THE CRUCIAL FEATURES TO BE DEVELOPED:

  • A fully customizable deal approval flow based on different scenarios and approval criteria
  • Risk-assessment tool based on accurate info on tenant financials and deal terms
  • Comprehensive reporting on the deal/property/portfolio levels
remetrprod
solremetr

Solution

WE PROVIDED:

  • UI / UX parts for the whole solution
  • Financial modeling affords calculation and tracking of deal metrics
  • An extensive reporting tool
  • Integration with market data generators (VTS, JDE, Equifax), which allows retrieving market data per industry/region/property type

Results

We renewed the existing product with the latest tech stack, giving property owners, brokers, and asset managers, a solid view on lease deals from negotiation until maturity.
REMONIT

Tech Stack:

Angular
FRONT-END
Angular
NET_Core
BACK-END
.Net Framework
mysql
BD
MS SQL
AWS
CLOUD
AWS