Restaurants Solution - PriceEasy™

Over 10 years we help companies reach their financial and branding goals. Engitech is a values-driven technology agency dedicated.

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411 University St, Seattle, USA

engitech@oceanthemes.net

+1 -800-456-478-23

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. 

Tradeoff

Demand vs Competition

Site selection is a tradeoff 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 Tradeoff

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.

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.

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.

Gain precise intel on the site, combining the data from Vision AI with other external data.

Leveraging Trillions of External Data Points

 
 

Your
Purchases

Competitor Pricing Behaviour and Site Intelligence

Weather Forecast

Competitor Pricing, Discounts and Promotions

Local Macro Factors

Customer Intelligence and Shopping Pattern

Local Area Intelligence incl. Traffic and Retail

Your POS
SaleS

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.