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

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.
Forecasting & Predictive Planning
AI can suggest future staffing and equipment needs based on historical patterns and project pipeline.
Interactive What-If Analysis
Explore scenarios in real time with interactive what-if analysis to make confident, data-driven operational decisions.
Digital Transformation
Modernizes workforce and equipment scheduling, shifting organizations from manual processes to intelligent conversational based process.
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.
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.

A mid sized oil field services can increase ROI by

35%

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

A conversational based assistance will speed up decision making process by

50%

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

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

25%

which will have a direct positive impact on the company bottom line.​

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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.

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