Advanced point-of-sale analysis and sales network optimisation
With more than 30 years valuing real estate, businesses and assets, GesvaltData combines the expertise of a leading valuation company with the latest technologies in Location Intelligence. Our added value compared to other providers is clear: we work with real, field-verified data, which provides a more accurate and actionable insight for your business decisions.
We use advanced algorithms, geospatial analysis and data visualisation to help you optimise your retail network, identify areas of opportunity and stay ahead of the competition.
What does the analysis of sales outlets and commercial network consist of?
It is a location intelligence service that allows to assess the current and potential performance of each establishment, identify expansion opportunities and optimise the coverage of a commercial network.
It is based on the cross-referencing of internal information (sales, customers, business typology) with external data (competition, demographics, traffic, points of interest) and predictive models to make decisions with lower risk and higher return.
Location intelligence applied to business strategy
We analyse each point of sale not only for its location, but also for the geographical, socio-economic and commercial context that surrounds it, detecting patterns of success that can be replicated in future openings.
Data, algorithms and visualisation for better decisions
We integrate sales forecasting models, heat maps, isochrones and interactive dashboards that facilitate the interpretation of information and accelerate strategic decision making.
What information is analysed at each point of sale?
Analysis of competition and trade density
We locate and classify the presence of direct and indirect competitors, as well as the commercial saturation of the area.
Estimated turnover potential by area and type of activity
We project potential revenues considering the socio-demographic profile, disposable income and target audience concentration.
Study of pedestrian traffic and behavioural patterns
We analyse the influx by time slots and days of the week, as well as the flow of people at different points in the area.
Identification of traffic attractors
We determine which nearby elements generate visits and movement: hospitals, schools, parks, transport stations, shopping centres, among others.
Automatic classification of points of sale according to typology, performance or context.
We assign categories that allow you to segment premises according to their potential, positioning or environment, facilitating decision making.
How is the area of influence of a point of sale defined?
Simple radius vs. isochrons (time) vs. custom polygons
The catchment area can be defined by linear distance, travel time or customised zones reflecting actual customer behaviour.
Choice of method according to type of business and urban environment
We select the optimal method depending on whether the business depends on impulse purchases, pre-planning or the population density of the surrounding area.
How does this analysis help multi-location business networks?
Detection of opportunities for new openings
We identify areas with high potential demand and low competition, based on real market data and proven patterns of success.
Analysis of cannibalisation between premises of
the same network
We measure whether locations compete with each other and propose adjustments to maximise overall profitability.
Optimising territorial coverage and improving overall performance
We ensure that each area is well served, balancing customer proximity with operational efficiency.
Business network analysis use cases
Expansion of a franchise network
Location of new high potential areas with low competitor saturation.
Relocation or closure of underperforming sites
Based on market data, footfall and customer behaviour.
Selecting the ideal location for a new opening
Evaluation of alternatives with turnover simulations and ROI projections.
Request an analysis of your commercial network
Optimise your POS network with the security of working with real data, verified and enriched by more than 30 years of field valuation experience.
Frequently asked questions on outlet and catchment area analysis
What data do I need to start a POS analysis?
What data do I need to start a POS analysis?
Ideally, sales data, customer profiles, current locations and business targets. We supplement the information with our real estate and geospatial database.
Can this analysis be applied to B2B businesses?
Can this analysis be applied to B2B businesses?
Yes, we tailor the approach to companies selling to other companies, considering factors such as proximity to key customers or industrial areas.
How often should the analysis be updated?
How often should the analysis be updated?
We recommend reviewing it every 6-12 months to reflect changes in the market, competition or consumer behaviour.
What is the difference between radius and isochrone?
What is the difference between radius and isochrone?
The radius measures linear distance, while the isochrone measures actual travel time, giving a more accurate view of accessibility.