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GEOANALYTICS for BUSINESS
The SmartLoc system can be used to solve many highly specialized tasks: from advertising placement to the location of warehouse premises
DEVELOPMENT & REAL ESTATE
Parameter evaluation
Detailed analysis of the environment: audience and profile composition of commercial infrastructure for optimal development of territories, competitive analysis
PHARMACEUTICS & MEDICAL SERVICES
Local Audience Analysis
Assess the volume, structure and other indicators of the local audience of objects to form the optimal range of goods and format of services
RESTAURANT BUSINESS
Traffic near the location
Find out how many people pass by the location you are interested in and the competitors' locations every day. Now you can choose the most popular places
ONLINE AND OFFLINE RETAIL
Location Analysis
Choose the best locations for your facilities and predict their success with the help of big data and artificial intelligence in the SmatLoc system
SmartLoc System FUNCTIONALITY
The user has access to all necessary geomarketing analysis data
Working with geodata
Clear visualization of a large thematic data set
Uploading and editing client data
Various sections of information: maps, tables, summary statistics on the territory
Analysis of service areas
Research of any cities and territories
Determining the boundaries of transport and pedestrian accessibility
Selection of workload mode taking into account different times of day
Assessing audience parameters
Determining the population size of a random area
Differentiation by income level
Data on new buildings to assess audience growth potential
Monitoring the competitive environment
Visualization of the location of competitors' facilities
Determining competitor service areas
Calculation of the saturation level of the local market
Traffic allocation
Detailed pedestrian and car traffic data
Multiple levels of detail for different depths of analysis
Visualization of the placement of traffic generator objects
Huff Model
Determining the penetration level and volume of the potential audience
Finding areas with high potential to attract additional audiences
The answer to the question “Where can we expect clients?”
Real estate rental and sale offers
Monitoring the latest offers
Enrichment of offers with geographical factors
Rapid assessment of new premises
Revenue forecasting
Turnover forecast model for a specific network
Analysis of the maximum number of factors
Using Machine Learning Algorithms
ADVANCED GEOANALYTICS TOOLS
SmartLoc System user gets access to additional analysis tools
Loading and visualization of client data, flexible customization of design and display methods
Data visualization
Creating Heat Maps
Built-in tool for generating heat maps based on internal and user data
Ability to work with tabular data, including filtering and summary statistics
Working with tables
Saving analysis results
Maps export, maintenance of the location database, saving of the created project and layers
Selection by layer, boundaries of spatial and attribute selections
Interactive work with the map
FAQ
The minimum period for which you can access the system is 1 month
The SmartLoc geomarketing system can be connected to the following countries: Russia, Azerbaijan, Belarus, Kazakhstan, Uzbekistan. The ability to connect access to data to other countries can be specified upon request.
The service offers current offers from the most popular aggregators. Operational analysis of new premises will provide you with a key advantage - speed of decision-making. Additionally, you can study the dynamics of the supply market and select the most relevant premises in the areas of interest
One of the important geomarketing models. Allows you to determine the coverage area, calculate the audience size and the level of penetration (catchment area with penetration), taking into account the location of the population, the influence of competitors and the characteristics of the road network. Allows you to identify areas with high potential for attracting target audiences
Development and integration of a turnover forecast model for a specific network. Analysis of the maximum number of spatial and local factors and identification of the most important ones affecting trade turnover. Increasing accuracy through deep spatial analysis methods and machine learning algorithms. Accelerate and standardize the location analysis process. Reducing uncertainty when making decisions on network development