How Shell Oil Reduced Equipment Downtime by 40% and Saved $2M Annually with AI

By: GoBeyond Team

July 27, 2025

3 min read

AI case study for Shell Oil – 40% less downtime and $2M savings

Quick Overview

Shell Oil implemented AI to analyze equipment sensor data and historical maintenance records, auto-generating maintenance schedules to prevent unplanned downtime and optimize costs.

Shell Oil

Company Size

~80,000 employees

Revenue Range

$350B+ annual revenue

Primary Challenge

Unplanned equipment downtime causing production losses and high maintenance costs

Key Metrics

- 40% reduction in equipment downtime
- $2M annual maintenance cost savings
- Improved maintenance scheduling accuracy

The Problem

Reactive maintenance led to costly downtime and inefficient resource use.

The Solution

Integrated IoT sensors with machine learning models to predict failures and automate maintenance scheduling.

Results

- Cut downtime by 40%
- Saved $2M annually in maintenance costs
- Improved operational reliability and efficiency

“AI-driven maintenance scheduling has significantly reduced our downtime and costs.”

Details

Industry

Manufacturing

Departments

Project & Task Management

Use Cases

Project Planning

More Case Studies

See All

How Eleken Redesigned Populate to Streamline Clinician Documentation and Improve Patient Care

Healthcare & Medical

How Baleària Uses Zendesk AI Chatbots to Deflect Tickets and Achieve a 96% CSAT Score in Travel Support

Hospitality & Tourism

How Oxford VR Combines AI and Virtual Reality to Improve PTSD Treatment

Mental Health

How World Wildlife Fund Uses AI to Track Endangered Species and Combat Poaching

Nonprofit & NGO

How Uber Uses Advanced Data Visualization to Clarify Pricing and Support Decision-Making

Technology & SaaS

How Obayashi Corporation’s AiCorb Uses AI to Rapidly Generate Building Facade Designs and Streamline Architectural Workflows

Construction