AI case study

PointerProperty valuation and listings

Data cleaning consumed weeks per model test. An AI pipeline now automates the process, freeing 75% of the team to build new features.

Published|6 months ago

Key results

Listing Creation Time
5 mins
vs 15 minutes
Team Capacity Freed
75%
Accuracy Improvement
30%

Result highlights

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The story

Context

A tech-enabled real estate agency in Cambodia holds a decade of proprietary data and seeks to professionalize a market where 95% of agents operate without a license.

Challenge

Engineers spent weeks manually cleaning inconsistent records for a single AI model test, effectively trapping technical talent in maintenance work....

Solution
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Scope & timeline

  • 5x faster data processing and training
  • Model update cycle cut from 1 month to 1 week

Quotes

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The company

Real estate agency and property marketplace for rentals and sales in Cambodia.

IndustryReal Estate & Construction
LocationPhnom Penh, Cambodia
Employees51-250
Founded2018

The implementation partner

Tridorian logo

Tridorian

tridorian.com
Role in this case study

Worked with Pointer to help map its migration strategy to Google Cloud

IndustryTechnology
LocationJakarta, Indonesia
Employees11-50
Founded2022

The vendor

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

Use case

Pointer's Property valuation and listings is part of this use case:

Computer Vision
41 case studies(+5% YoY)
Proven impact?
LowModerateVery Strong
3.8Moderate
3.0Moderatewithin Product Engineering

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