Restaurants Solution
Find the Best Location for Your Restaurant
Enhance your insights with trillions of external data, discover local food preferences by neighborhood, and identify opportunities to expand your restaurant chain.
#1 Decision is Site Selection
See how the power of trillions of external data points and data science has transformed the ability to identify the best locations for your specific restaurant concept.
Challenges with Site Selection
Choosing the wrong restaurant location is costly. Key challenges include:
Limited data on number of people and their cuisine preferences.
Without in-depth data, it’s difficult to determine if a target area has enough people interested in a particular cuisine. For example, not knowing how many people in an area prefer Mediterranean cuisine or their spend on dining out.
Making your location stand out by avoiding overcrowded competition.
Choosing a location without knowing nearby competitors can lead to oversaturation, making it hard to stand out. Identify key players and locations offering similar cuisine to maintain distance and meet market demand.
Understanding the safety and crime statistics in the area
A seemingly perfect location may have high crime rates that deter customers. Broad crime stats aren’t enough; you need detailed, area-specific data on relevant crimes and the nature of the crime to make informed decisions.
Insufficient tools for analyzing hundreds of areas cost effectively
For restaurant chains with many location options, making decisions without targeted analysis that identifies the most strategic areas lead to hasty choices.
Trade Off
Demand vs Competition
Site selection is a trade off between how much business can be generated from local demand for the cuisine versus the number of competitors that offer similar cuisine.
Identify Areas with the Best Trade Off
By leveraging trillions of external data points, our software pinpoints areas that strike the ideal balance between the target customer base and the number of competitors.
Comprehensive market analysis using trillions of external data points for smarter site selection.
Many software solutions offer parcel information, listing availability, and demographic data, but they fall short in delivering a true understanding of the market.
Identify areas best suited for your specific use case, ensuring faster site selection
We help to analyze competitor proximity, catchment areas, potential customer distribution, and consumer shopping patterns to help support you in the retail listings you share with your clientele.
Simulate Entire Country
Define the client’s use case.
- Volume
- Profit
- Desired Market Share
- Areas Of Interest
PriceEasy runs a massive simulation to identify regions that are strategic for the retail concept.
Narrow Down Best Areas
Provides comprehensive intel on every site to find key opportunities.
- Land Parcel Information
- Site Ownership
- Mobility Intel
- Volume Potential
- Margin Potential
- Direct Retail Competitors
- Pricing Trends
- Local Macro Demographics
- Merchandise Demand
Show site recommendations that have a favorable ROI based on the use case.
Nail Down with Vision AI
Compare top recommendations for the best opportunity in the client’s best interest.
- Market Share
- Direct Retail Competitors
- Brand Premium In The Area
- Traffic Density
- Mobility Intel
- Local Macro Demographics
- Merchandise Demand
- Volume Potential
- Residential Population
- Consumer Shopping Patterns
- Potential Customer Distribution
- Refine Pockets Of interest
- Customer Journey Mapping
Gain precise intel on the site, combining the data from Vision AI with other external data.
Insights that Leading Chains Use
Unique Intelligence that is Only Available with the PriceEasy System
Who Are Your Real Competitors?
By analyzing people’s mobility patterns, the restaurants they visit, where they shop for groceries, and their spending habits on food—both dining out and at home—we identify your true competitors for any given location, based on their cuisine preferences.
Number of People Within Catchment Area
People prefer dining near home or work. Our system analyzes mobility patterns and dining habits to define a catchment area—the region from which you’ll draw customers, based on competitor locations. And the number of people within the catchment area.
Detailed Crime Stats and Quality of the Area
When choosing a restaurant, people consider more than just the quality of the food—the overall experience, including location, safety, and surroundings, plays a vital role. We provide a comprehensive analysis of an area’s crime history and overall quality.
Data Sets for Restaurant Planning
The Only Platform Integrated with Trillions of External Data
Retail Fuel Pricing
Reliable retail fuel pricing for every station, updated hourly.
Retail Store Item Price
Retail Pricing intelligence for 700,000 products, normalized daily across all major global retailers.
Mobility Data
Anonymized intelligence based on cell phone pings, offering insights into shopping behavior in an area.
Local Macro Factors
Macro characteristics, such as population growth, housing growth, economic development.
Local Site Factors
Local data, including POIs like restaurants, coffee shops, malls, and key attractions in a specific area.
Traffic Flow
Hourly traffic data, including the number of cars on each street, congestion levels, and travel times.
Competitor Discount Data
Data on discounts offered at each competitor's retail location.
Competitor Reviews
Comprehensive competitor insights, including customer reviews, wait times, visit patterns by time of day.
Mystery Shopper Data
Mystery shopper intelligence to collect essential information about site performance and service.
Weather Forecast
16-day weather forecasts, 200 years of historical data. Understand how weather impacts your business.
Point Location Data
Insights into local shopping patterns, eating habits, and the most frequented locations.
Average Daily Traffic
Daily average vehicle count on each street across all major countries.
Ariel Imagery Data
Images captured from aircraft, drones, or satellites, providing up-to-date views.
Vehicle Registrations
Collected from each jurisdiction on the vehicle make, model, year, type, engine capacity, fuel type.
Area Spend Profile
Detailed spending profiles of individuals in the area on food items, services, fuel, and insurance.
Land Ownership Intel
Comprehensive intelligence on land ownership, including contact info and land structure details.
Individual Home Value
Estimated property values in the area, derived from recent transactions and property size.
Commercial Property
Detailed insights on commercial properties in the area, including their size, and availability.
Home Ownership Intel
Home ownership data, including homeowner details, past transactions, and property value.
Visitor Profile by Store
Aggregated customer intel at a retail store including spending profiles, age groups, and income ranges.
Micro Level Demographics
Micro level area demographic structure, including spending profiles, income, preferences.
Detailed Crime Stats
Aggregated stats based on incidents reported by local law enforcement, including the nature of the crime, to identify high-risk zones.
Properties for Sale
Insights on commercial properties that are available for lease or for sale.
News Sentiments
Comprehensive analysis of daily major news, including sentiment evaluation and relationship analysis between key topics and entities.