GeoRetail — a solution for precise site selection and controlled network expansion
GeoRetail — a solution for precise site selection and controlled network expansion
A geoinformatics platform for companies with physical retail locations. GeoRetail helps forecast revenue for new locations, assess the competitive landscape and cannibalization, compare network expansion scenarios, and make informed decisions based on data rather than intuition.
Key Values of Implementation
Controlled network expansion
Revenue forecast for the new location prior to signing the lease agreement
Comparison of Several Store Opening Options and Formats
Assessing the Impact of a New Node on the Existing Network
Reducing the Risk of Making Poor Investment Decisions
Unified Decision-Making System
From map to “go/no-go” decision in 30 minutes instead of several weeks of analysis
A unified platform for analytics, forecasting, and location evaluation
A Structured Argument for the Investment Committee
Preserving expert knowledge and the history of decisions within the company
Advanced Geoinformatics and Forecasting Using Machine Learning
Analysis of more than 75 factors for each potential location
ML revenue forecast with 80–85% accuracy
Analysis of the Competitive Environment and Areas of Oversaturation
Identifying promising areas for network expansion
Controlled network expansion
Revenue forecast for the new location prior to signing the lease agreement
Comparison of Several Store Opening Options and Formats
Assessing the Impact of a New Node on the Existing Network
Reducing the Risk of Making Poor Investment Decisions
Unified Decision-Making System
From map to “go/no-go” decision in 30 minutes instead of several weeks of analysis
A unified platform for analytics, forecasting, and location evaluation
A Structured Argument for the Investment Committee
Preserving expert knowledge and the history of decisions within the company
Advanced Geoinformatics and Forecasting Using Machine Learning
Analysis of more than 75 factors for each potential location
ML revenue forecast with 80–85% accuracy
Analysis of the Competitive Environment and Areas of Oversaturation
Identifying promising areas for network expansion
Features
Interactive Map of Locations and Areas
A unified geo-analytical map for searching, analyzing, and comparing potential locations.
▪️Over 8 million zones with accuracy down to the individual house ▪️Analysis of population, development, POIs, transportation, and traffic ▪️Predefined analysis scenarios: white spots, competitive pressure, and area potential ▪️Satellite view and various map visualization modes
ML Revenue Forecasting and Scenario Modeling
Forecasting key business metrics for a new branch using machine learning models.
▪️Forecasting revenue, number of transactions, and average transaction value ▪️Three forecast scenarios: pessimistic, base, and optimistic ▪️Accounting for seasonality and growth dynamics ▪️Comparison of up to 4 store formats for a single location ▪️Revenue forecast accuracy of 80–85%
Analysis of Competition and Cannibalization
Assessment of the impact of the competitive environment and new locations on the existing network.
▪️Analysis of competitive pressure and oversaturated areas ▪️Isochronic zones for pedestrian and vehicle accessibility ▪️Identification of overlapping coverage areas between stores ▪️Cannibalization forecast prior to the opening of a new location ▪️Assessment of severity for high-risk areas
Location Comparison and Support for Investment Decisions
The platform helps you quickly evaluate alternatives and justify decisions.
▪️Comparison of 2–3 locations based on key metrics ▪️Automatic scoring and ranking of locations ▪️Factor analysis: “Why this particular area?” ▪️Generation of a report for the investment committee in 1 minute ▪️Project: from location search to the decision to proceed or terminate the project
Assess the potential of your network
At our first meeting, we’ll map out your network, analyze the competitive landscape, and identify areas with growth potential. You’ll see your network coverage, promising locations for new stores, and potential risks before making an investment decision. All you need is publicly available data about your network. No need to share internal information or go through a complicated setup process.
Business Benefits
Reducing the Risk of False Alarms
Making decisions based on data rather than intuition
Assessment of a Site's Investment Potential for Opening a New Location
Monitoring Cannibalization and Competitive Impact
Reducing losses due to poor locations
Accelerating Network Development
Reducing the time required to analyze locations from several weeks to 30 minutes
A Quick Comparison of Several Development Scenarios
Automating the Preparation of Analytics for the Investment Committee
Scaling up the expansion process without compromising the quality of solutions
Improving the Quality of Strategic Decisions
A single source of geoinformation for the entire company
Transparent and Understandable Forecasting Using Machine Learning
Preserving corporate expertise within the system
Developing a Long-Term Data-Driven Network Development Strategy
Reducing the Risk of False Alarms
Making decisions based on data rather than intuition
Assessment of a Site's Investment Potential for Opening a New Location
Monitoring Cannibalization and Competitive Impact
Reducing losses due to poor locations
Accelerating Network Development
Reducing the time required to analyze locations from several weeks to 30 minutes
A Quick Comparison of Several Development Scenarios
Automating the Preparation of Analytics for the Investment Committee
Scaling up the expansion process without compromising the quality of solutions
Improving the Quality of Strategic Decisions
A single source of geoinformation for the entire company
Transparent and Understandable Forecasting Using Machine Learning
Preserving corporate expertise within the system
Developing a Long-Term Data-Driven Network Development Strategy
Let's discuss your data challenges
Let's discuss your data challenges
Let's discuss your data challenges
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