SITE SELECTION & NETWORK EXPANSION
Choose your next location on evidence, not instinct
Compare candidate locations on demand, access, competition and network impact, and make expansion decisions your team can defend.
BUILT FOR PHYSICAL NETWORKS
The same expansion decision, across every network
RETAIL CHAINS
PARCEL LOCKERS
BANKS & FINANCE
SERVICE NETWORKS
Where to open next
Where new lockers add coverage
Too close together and they cannibalise pickup volume.
Which catchments justify a new store
Overlap and you split sales with your own branch.
Where the branch network still earns its footprint
Keep a branch where demand has moved and it bleeds cost.
Where to add service points
Get it wrong and areas stay underserved or overlap.
THE PROBLEM
Where you open decides what you earn for years
Today it runs on gut feel
Openings ride on instinct and a familiar map, not a shared basis the whole team trusts.
Every site is judged differently
Without one model, comparisons are subjective and approvals come down to who argues best.
The logic is scattered
Spreadsheets and local knowledge do not travel across teams, regions or countries.
HOW MOST TEAMS DECIDE TODAY
Gut feel and a familiar map
Every site judged on different criteria
Logic buried in scattered spreadsheets
Sign-off comes down to who argues best
WITH ONE DECISION SYSTEM
One score across demand, access and competition
Network impact modelled before you commit
Every candidate compared the same way
Decisions you can defend, in every region
ONE DECISION SYSTEM
One platform, from office to field
One workflow from the first candidate to a site confirmed on the ground, and the same logic repeats for every region.
FIND
Find strong candidates
White-space analysis shows which catchments are worth opening in.
COMPARE
Compare locations on one basis
Demand, access, competition and network impact in a single score.
MODEL
Understand network impact
See how a new site shifts coverage and cannibalisation across your network.
CONFIRM IN FIELD
Confirm on the ground
Field teams check shortlisted sites in the mobile app, synced back to the same record.
SCALE
Decide the same way everywhere
Repeatable decisions that roll out across teams, regions and countries.
ONE PLATFORM
· OFFICE TO FIELD
SEE IT ON A REAL DECISION
WHAT YOU GET
What expansion teams get
BETTER SITE DECISIONS
Compare every location the same way
One basis for demand, access, competition and network impact.
FEWER WEAK OPENINGS
Catch weak sites before the lease
Spot poor locations while walking away still costs nothing.
CONSISTENT ROLLOUT
Scale the same logic across regions
Teams in every country agree faster on where to open next.
RELATED CASE STUDIES
See decisions in action
Dr. Max
CASE STUDY
LOGISTICS
The Data Science Behind Dr. Max's Parcel Locker Network Expansion
See how Dr. Max used data-driven insights to expand their parcel locker network for greater efficiency and optimized site selection.
Česká spořitelna
CASE STUDY
BANKING
How Česká Spořitelna Optimized Its Branch Network
Enhance customer service and optimize branch locations like using location analysis.
Albert
CASE STUDY
RETAIL
How to Identify the Stores with the Highest Growth Potential
See how Ahold Delhaize uses CleverMaps to measure store potential, evaluate market opportunities, optimize store locations, and drive sales growth.
30-MINUTE WORKING SESSION
Bring the locations you are comparing right now
Give us a real expansion decision your team is weighing: the sites on your shortlist, or the region you are entering next. In 30 minutes we will show how the decision runs on your own network.