Optimize workforce and equipment utilization, boosting efficiency and driving improved profitability with AI

Smartbridge Use Case Collection

Smartbridge’s AI-driven workforce & equipment optimization solution revolutionizes oilfield operations by reducing downtime, improving efficiency, and maximizing profitability.

Use Case Overview

Leveraging AI-based workforce and equipment optimization will enable companies to maximize operational efficiency, reduce idle time, and drive higher profitability through intelligent, data-driven decision-making.

APPLICABLE CAPABILITIES:

Artificial Intelligence
Data & Analytics
Automation
Development
  • Maximize equipment utilization. Ensure that all equipment is being used at its full potential to minimize idle time and improve ROI.
  • Improve workforce productivity. Allocate resources with the skills required to the right projects, reduce idle time and improve cash flow.
  • Increasing Flexibility: Ensure that the company can quickly adjust to changing demands in different parts of the oilfield by optimizing equipment and workforce distribution.

  • Determine future labor and equipment needs based on backlog.

  • Understand costs associated with underutilized equipment and workforce.

APPLICABLE SOLUTIONS:

Microsoft Azure
Microsoft AI
Microsoft Power Platform
Microsoft Fabric
Microsoft DevOps

Target Increase:

> 90%

Crew utilization rate

Baseline before:
70-75%

Target Reduction:

< 2 hrs

Equipment idle time

Baseline before:
4–6 hours per day

Target Reduction:

< 5 min

Time to locate available resources

Baseline before:
30-45 min

Target Increase:

> 90%

Preventive maintenance compliance

Baseline before:
~50%

Target:

Real-time insights delivered via AI assistant

Decision-making latency

Baseline before:
Hours to days (dependent on reports)

Target Reduction:

< 3%

Unplanned downtime

Baseline before:
8–10% of operations

Strategic Business Goals Supported

Benefits & Value to Oil & Gas organizations:

  • Increased ROI: Using equipment to full capacity maximizes asset value, directly improving ROI by 35% and contributing to the bottom line.

  • Reduced Idle Time: Allocating resources based on project needs minimizes idle time by 25%, ensuring continuous labor and equipment productivity, thereby improving operational efficiency and cost-effectiveness.
  • Real Time Decision Making: Conversational assistance provides real-time information which enables accuracy and speed of decision making by up to 50%.

  • Improved Resource Planning: Helps companies improve accuracy of forecasting labor and equipment needs there by ensuring readiness for demand and preventing shortages or excess.

Solution Capabilities

  • Real-Time Scheduling Decisions: AI-driven conversational based assistants enable quick, informed decisions based on availability, demand and current backlog. No more dependency on canned reports.

  • Digital Transformation: Modernizes workforce and equipment scheduling, shifting organizations from manual processes to intelligent conversational based process.

  • Interactive What-if Analysis: Explore scenarios in real time with interactive what-if analysis to make confident, data-driven operational decisions.

  • Seamless Integration: Leverages Microsoft Copilot for intuitive AI-powered interactions across enterprise tools and data repositories.

  • Enhanced Profitability: By improving efficiency, reducing idle time, and maximizing asset usage, AI-based scheduling directly contributes to higher margins and ROI.

  • Workforce Productivity: AI-based scheduling enhances workforce productivity by ensuring the right crews are deployed at the right time to the right job reducing downtime.

  • Forecasting & Predictive Planning: AI can suggest future staffing and equipment needs based on historical patterns and project pipeline.

Real Time Scheduling Decisions
Forecasting & Predictive Planning
Interactive What-If Analysis
Digital Transformation
Workforce Productivity
Seamless Integration
Enhanced Profitability

A mid-sized oilfield service company increased ROI

35%

by increasing efficiency, reducing idle time and maximizing asset usage with AI-based assistants.

A conversational based assistant will speed up decision making process

50%

by providing real-time information instantaneously without having to depend on prebuilt or canned reports.​

Smart scheduling using AI capabilities reduced idle time for crew and equipment up to

25%

which had a direct positive impact on the company’s bottom line.​

View the use case in action!

For a broader perspective, explore Microsoft Copilot use cases across industries to see similar innovations in other sectors.

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Smartbridge Use Case Library is a collection intended to spark ideas, inspire innovation and get you thinking about real world value.