AI case study

Golden Energy MinesOperations intelligence

A call that helped the pit could quietly hurt the port. GEMVIS unifies 50 siloed apps into one live view, in every tool teams use.

Published

Key results

Retrieval Time Reduction
<1 hr
vs two days
Decision Speed Increase
>90%

Result highlights

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The story

Context

An Indonesian mining company that built an ecosystem of 50+ applications spanning the full pit-to-port and back-office value chain under a company-wide digitalization initiative started in 2020.

Challenge

The volume of data across 50 applications created a cognitive bottleneck: dashboards were siloed by domain, so leadership couldn't reconcile...

Solution
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Scope & timeline

  • 4,000+ employees using GEMVIS AI system

Quotes

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The company

Golden Energy Mines logo

Golden Energy Mines

goldenenergymines.com

Coal mining and trading company.

IndustryEnergy & Utilities
LocationJakarta, Indonesia
Employees251-1K
Founded1997

The implementation partner

Datalabs logo

Datalabs

datalabs.id
Role in this case study

Delivered training and shared best practices to help GEMS build a robust hybrid foundation

IndustryTechnology
LocationJakarta, Indonesia
Employees51-250
Founded2019

The vendor

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

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

Use case

Golden Energy Mines's Operations intelligence is part of this use case:

Specialized Search
33 case studies(+20% YoY)
Proven impact?
LowModerateVery Strong
4.7Moderate

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