Economic geography and geomarketing
Spatial analysis, economic geography and geomarketing are innovative powerful tools that support better business decisions; provide competitive advantage; model distribution networks; investigate foreign economies and markets.
Traditionally economic geography comprises several branches, including geography of resources, geography of industry, geography of international trade, and regional economic geography (regional economy). However, there are emerging areas such as geomarketing, geostatistics, location analysis, real estate spatial analysis, retail geography, and transport geography of logistics and freight distribution. Industry and economic activity distribution along with geography of infrastructure are also the vital part of business intelligence.
Zesmill’s cartographic team collects geospatial information which is crucial to economy and business. We have six years’ experience working directly with leading European and Russian construction, logistics and retail names.
Our services include:
- industries and businesses localization and mapping for better understanding of national and regional economics
- site selection and location analysis which is important both for manufacturing and distribution
- geomarketing research to improve your sales performance
- acquisition of population data and demographic profiles for effective marketing and retail expansion planning
- acquisition of transport infrastructure data for effective distribution and logistics planning
- site analysis, pre-feasibility and feasibility studies for land development, construction and environmental management
Zesmill offers off-the-shelf business maps for countries, cities and metro areas which provide up-to-date, detailed, localized data about administrative and territorial division, population, development types, local businesses (malls and supermarkets, hotels, restaurants, gas stations, sport clubs, serviced office spaces etc.), roads and parking lots, railway stations, ports and port facilities etc. All data is organized in relational databases and can be used in GIS, SaaS and business intelligence systems.