EndorsedendorsedCompleted

Centralized Property Intelligence Platform for Property Brokers

Services Covered:

Custom Software Development
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Industry
Industry

Real Estate

Duration
Duration

6 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 September 2025

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
86/100
Strong

Project Capability Score (PCS) estimates how capable Acquaint Softtech Private Limited is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Property Brokers

map New Zealand

Project Summary

Acquaint Softtech developed a centralized property intelligence platform for a New Zealand real estate company that consolidated historical sales, listing activity, and regional trends. The team built data ingestion pipelines, property price prediction models, geospatial analytics, and reporting dashboards. The engagement improved daily operations by speeding appraisal preparation, enabling regional trend analysis, and delivering predictive valuation ranges that aligned closely with transaction outcomes.

Key Challenges

  • Build a centralized property intelligence platform combining historical sales, listing activity, and regional trends
  • Develop predictive valuation tools to estimate property values using location, historical pricing patterns, and market dynamics
  • Provide a modern backend capable of handling market analytics and reporting to evaluate trends across New Zealand

Project Deliverables

  • A centralized data ingestion system that aggregated historical property sales data, regional pricing information, and listing activity
  • Property price prediction models that generated estimated valuation ranges
  • Market intelligence dashboards for regional managers to review trends
  • A backend analytics engine designed to process large property datasets
  • Geospatial data analysis tools incorporating location-based insights
  • Reporting dashboards for internal market trend analysis
  • Secure APIs connecting the analytics engine with internal systems

Project Solution

Acquaint designed and implemented a custom backend analytics platform using Python and PropTech frameworks. They built a centralized data ingestion system to aggregate sales records, regional pricing, and listing activity, developed property price prediction models, and delivered market intelligence dashboards and geospatial analysis tools. The team also provided a backend analytics engine and secure APIs to integrate the analytics capabilities with the client's internal systems.

Project Outcome

  • Property appraisal preparation became much faster as agents could access pricing insights directly within the platform
  • Regional managers gained timely visibility into buyer demand and pricing shifts via dashboards instead of manual compilation
  • Predictive valuation tools often produced suggested price ranges that aligned closely with final transaction outcomes
  • Deliverables were released in stages and the vendor maintained regular communication and rapid responses to feedback

Platforms

  • WebWeb

Tech Stack

  • PythonPython

Client Endorsement

Overall Review Rating

4.38star4 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Acquaint Softtech Private Limited's platform improved the client's daily operations. The project was managed through a structured development cycle with clear milestones. Acquaint Softtech Private Limited maintained regular communication and was quick to respond to the client's suggestions.

Guy Mordaunt

Managing Director

Note: This endorsement is based on publicly available client feedback from external review sources.

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