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 Statworx Deploys AI Models to Optimize Upsell and Cross-Sell Campaigns for Clients

Professional Services & Consulting

How Forbes Uses Quill AI to Generate SEO-Optimized Business and Finance Articles at Scale

Media & Entertainment

How Harbinger Group Developed AI-Powered Onboarding and Learning for a Multinational Investment Bank

Finance & Banking

How DBS Bank Leverages AI and Cloud to Enhance Credit Risk Management, Customer Engagement, and Operational Efficiency

Finance & Banking

How Botkeeper Uses AI to Automate Bookkeeping and Empower Accounting Firms to Scale

Technology & SaaS

How Alibaba Increased Sales and Streamlined Content Creation with AIRec and NLP

Retail & E-commerce