OPIS LocationPro

Optimize retail site investments with confidence

Make Every Location Decision a Winning One

Stop guessing and start growing. Fuel retailers can now confidently expand their site locations with LocationPro, an AI-powered retail 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

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

How It Works: AI-Powered Network Planning

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

Human Mobility Vehicle Mobility Retail & POI Data Fuel Pricing & Market Share
Track behavioral and demographic patterns through mobile phone signals — including foot traffic trends, work location clustering, and catchment area insights. Vehicle counts, traffic speeds, parking behavior, and route timing data — 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 Expansion

 

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. Forecast and Validate: Compare forecast vs. actuals to continually improve outcomes.
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 avoid risky areas.
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 Site 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.

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 stores can be opened with minimal competition

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.