OPIS LocationPro

Optimize retail fuel station expansion planning with confidence

Make Every Location Decision a Winning One with a Trusted Retail Fuel Network Planning Platform from OPIS

Stop guessing and start growing. Fuel retailers can now confidently expand their site locations with LocationPro, an AI-powered retail fuel network planning platform. This world-class modeling software solution combines near real-time location data, traffic trends, and demographic statistics to help multi-site retailers make high-return investment decisions.

LocationPro helps:

  • Launch New-To-Industry (NTI) sites
  • Optimize or consolidate existing locations
  • Forecast fuel volumes and financial performance
  • Find the right location for your site, your brand, your offer, your price position
  • Justify investment proposals with confidence

FREE NETWORK PLANNING DEMO

See how you can benefit from OPIS LocationPro – download the brochure.

View the LocationPro fact sheet to learn more about our network planning software.

Watch the Video to Learn More About OPIS LocationPro
 

How It Works: AI-Powered Network Planning for Fuel Retailers

LocationPro leverages AI and machine learning to support smarter, faster decisions throughout the network planning cycle:

Micro-local Performance Analysis
Understand every location down to the block or building level.

Competitive & Traffic Modeling
Model interactions between nearby sites and vehicle flows.

Forecast Accuracy & Refinement
Compare predicted sales volumes and financials to actuals to improve future projections.

Investment Justification
Use detailed financial models to support board-level investment approvals.

Data Sources That Power LocationPro

OPIS treats your data with integrity and it is never shared with or used to benefit your competitors. LocationPro’s market insights are derived from publicly available information and proprietary modeling.ย 

Human Mobility Vehicle Mobility Retail & POI Data Fuel Pricing & Market Share
Icon of mobile phone for Human Mobility section Icon of Vehicle for Vehicle Mobility section Icon of shopping cart for Retail & POI Data section Icon of gas pump for Fuel Pricing & Market Share section
Track behavioral and demographic patterns through mobile phone signals โ€” including foot traffic trends, work location clustering, and catchment area insights. Vehicle counts, traffic speeds, parking behavior, and route timing data โ€” all essential to fuel volume forecasting and investment planning. Includes demographic data, consumption behaviors, point-of-interest mapping, and social insights. Access historical and near real-time OPIS data on fuel pricing and estimated market share to identify areas with optimal margin potential.

LocationPro Benefits: From Market Clarity to Smarter Fuel Station Expansion Planning

 

Hyperlocal Precision: Analyze down to city blocks or buildings with human mobility insights. Hyperlocal Precision: Analyze down to city blocks or buildings with human mobility insights. Fuel Data Advantage: Access fuel pricing and market share data to avoid risky areas. Vehicle Flow Forecasts: Use vehicle and traffic patterns to estimate site volume. Finger clicking a green neon check mark
AI-Driven Planning
Increase sales through
smarter site selection.
Hyperlocal Precision
Analyze down to
city blocks or buildings
with human
mobility insights.
Fuel Data Advantage
Access fuel pricing and
market share data to
identify areas with
optimal margin potential.
Vehicle Flow Forecasts
Use vehicle and
traffic patterns to
estimate site volume.
Forecast and Validate
Compare forecast vs.
actuals to continually
improve outcomes.

How LocationPro Supports Smarter Fuel Station Expansion Planning Decisions

Site Selection

Objective: Identify the most strategic locations for retail or service outlets, maximizing sales and minimizing risk.

Benefit: Find optimal sites with up to 50% more sales compared to other industry approaches.

Network Optimization

Objective: Manage a network of locations, ensuring the best performance across all sites, adjusting site features and services for underperforming stores and using available market data and machine learning for optimal fuel station expansion planning.

Benefit: Calculate your next best investment to maximize return from every site in your network.

Cannibalization/Competition Analysis

Objective: Assess the impact of opening new locations on your existing network performance and understand competitive dynamics to optimize your overall network strategy.

Benefit: Understand the potential competitive impact of opening new locations with data-supported accuracy.

Competitor Sales Insights

Objective: Predict current and future sales for new and existing competitor stores, helping companies acquire the most promising stores in the market.

Benefit: Forecast sales in existing and new sites with data-supported modeling.

White Space Analysis

Objective: Identify untapped market opportunities where new locations can serve unmet customer demand.

Benefit: Forecast sales in new sites in territories with minimal error.

Sales Forecasting

Objective: Predict current and future sales for new and existing stores, helping companies optimize inventory and marketing efforts.

Benefit: Forecast sales in existing and new sites with negligible error.