Market intelligence by locationFrom a block to a national network
The geographic model
A location is not a coordinate.
Every place is shaped by the people who move through it, the resources they can reach, the alternatives around them, and the constraints of the territory. We bring those signals into one decision model.
Demand
Estimate who needs the offer, how frequently, and where demand remains underserved.
Mobility
Understand real movement, daily flows, travel patterns, and the populations a place can actually reach.
Access
Measure travel time, transport connections, walkability, and physical barriers surrounding each location.
Spending
Compare category expenditure, purchasing capacity, and differences in consumption across areas.
Competition
Map existing supply, competitive pressure, market gaps, and the risk of cannibalizing your own network.
Use cases
Two geographic decisions. One view of the market.
Site selection
Where should we open next?
Compare candidate sites against the same market criteria and identify the location with the strongest opportunity—not simply the busiest point on the map.
Rank candidate locations
Estimate reachable demand
Measure competitive pressure
Territory planning
How should we organize the network?
Design territories around real demand and movement. Reveal weak coverage, overlapping locations, and regions where the network can grow.
Balance coverage and capacity
Detect gaps and overlap
Prioritize expansion by region
Bring a location, a region, or an entire network. We will build the study around your decision.
Location study · Pharmacy networkThree candidate areas
Recommended location
Centro Norte
84/100
Centro Norte combines the highest unmet demand with strong daily movement, broad access, and the lowest competitive pressure of the three evaluated areas.
People within 15 min
62k
Daily footfall
18.4k
Monthly category spend
MX$720
Competitive pressure
Low
Responsible simulation
Simulated populations do not represent or reveal real individual users. We use public and aggregated information, including official sources such as INEGI and other public sources. We do not work with political campaigns or parties, tobacco or vaping, pyramid schemes, or applications designed to exploit vulnerabilities or put people’s health at risk. We simulate behavior to improve decisions, not to optimize against people.