AI case study

Rio TintoSupply chain scheduling

Legacy tech buckled as operations tripled. Now, AI synthesizes live data to recommend optimal schedules for human experts to execute.

Published|1 year ago

Key results

Investment Payback
<3 months
Scheduler Productivity
>2x

Result highlights

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The story

Context

The operator of the world's largest fully-owned integrated bulk supply chain exports 1 million tons of iron ore per day, involving thousands of daily logistics decisions.

Challenge

Operations tripled in size over two decades, overwhelming legacy systems that could not efficiently optimize complex scheduling across mines, rails,...

Solution
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The company

Rio Tinto logo

Rio Tinto

riotinto.com

Multinational producer of iron ore, aluminum, copper, and critical minerals.

IndustryEnergy & Utilities
LocationLondon, ENG, UK
Employees10K-50K
Founded1873

The implementation partner

Boston Consulting Group logo

Boston Consulting Group

bcg.com
IndustryProfessional Services
LocationBoston, MA, USA
Employees10K-50K
Founded1963

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