The problem of the effective placement of the sale outlets, advertisements is crucial for the retail enterprises, companies of foodservice industry, healthcare, insurance companies, banks. When assisting with choice of the optimal place for opening of a sale outlet or a bank terminal (in 47 cities), we are saving the client's time and mitigating risks as the effective placement increases sales rates.

1. Geo-m
Efficient and user-friendly solution

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The problem
Managing a distributed network in cities is costly
The high cost of mistakes when placing point of sale
Search for optimal location or market research takes weeks
Without special tools it is difficult to consider all the factors
To assess the potential of the existing point of sale is not always easy
The problem of the effective placement of the sale outlets, advertisements is
crucial for the retail enterprises, companies of foodservice industry, healthcare,
insurance companies, banks. When assisting with choice of the optimal place for
opening of a sale outlet or a bank terminal (in 47 cities), we are saving the
client's time and mitigating risks as the effective placement increases sales
rates.

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Questions which helps to answer our tool
Outlets
• Where open?
• Where close?
• What types?
• How much do
you need?
Cities
• What is the
potential of
the city?
• What is the
market share?
• Is the
coverage of
our network?
Customers
• Where are
they located?
• What is their
income?
• Where will the
new ones?

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The solution
Population density
The infrastructure of the city
Competitors
Traffic
The income level of the population
New Buildings
• Fragmented City information
from various sources
• (about 260 000 objects in 30
cities)
Decision-making tools

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The solution
Our solution is represented by a system accessible through browser that images on the
map the most suitable locations for bank terminals, pharmacies, restaurants, etc.
pursuant to the algorithm and based on the data on infrastructure of a city, traffic and
passenger intensity, housing density, and prices for real estate.

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Benefits
• Unlike custom market research, it is not necessary to wait for weeks. Result
in an hour
• Easy to use and user friendly tool
• It does not require installation on your computer and configure
• Recent data on the infrastructure, population, transport (monthly updates),
• Industry Solutions. Special mathematical models for the prediction of the
number of sales in drugstores and supermarkets, banks and restaurants

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Use case 1. Defining the attractiveness of cities
The purpose of the study to identify factors that affect the performance of the
retail outlets and the development of strategies to optimize the branch
network in the cities of Ukraine.
• We used 24 Macroeconomic indicators
• Investigated 267 cities
• We use the results of a telephone survey of 19,000 customers
• We used data on the placement of 18671 outlets competitors

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Use case 1
Based on the results of research and market shares were determined highest priority for
the development of the city network.
For each group of cities was determined strategy, development or optimization or reduction
of presence.
Each hexagon displays one city. The color of the cell displays the value of the variable for the city.
Kiev
Chernovtsy
Nikolaev

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Use case 2: Research the capacity and market share
in the city
 It is necessary to estimate the network covering the city and determine the potential for
future development of the network.
To solve this problem it is necessary to use layers human traffic and existing outlets.

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Use case 2: Research the capacity and market
share in the city

Aligns the layers. Now you can see how much of our potential customers include retail
outlets. Red box marked places where it is worth considering the possibility of opening a
shop or advertising.? In the end, covering the city distribution network - 64%, therefore,
have the potential for development.? Among the competitors 4 trading networks, the
number of outlets and covering the city is known . Based on the ratio of the number of
outlets, and cover the area of the city, the share of our sales network is 20-23%.