PARCEL LOCKER EXPANSION · ROLLOUT DECISIONS
Choose where parcel lockers go next, and prove why
Identify where the next boxes should go, rank the strongest candidates, and validate rollout decisions in the field before budget is committed.
WHY IT BREAKS DOWN
Where locker rollout budget quietly leaks
In out-of-home delivery the winner is whoever builds the densest well-placed network, so every misplaced box counts twice: the budget it consumed and the better site it displaced.
Not every gap deserves a box
White space on a map is not demand. Fill a quiet gap and the locker sits underused while the budget was needed two districts away.
Strong on paper, unworkable on the street
A high-scoring candidate can still fail on footprint, access or visibility. Weak sites must be rejected before rollout, not after installation.
Nearby lockers quietly cannibalise each other
Placed too close, a new box splits pickups with your own network instead of expanding it. The site looks busy; the network gained nothing.
Rollout logic matters as much as site quality
Batch one decides utilisation for years, yet HQ plans centrally and field teams judge locally, often on different criteria.
HOW MOST ROLLOUTS RUN TODAY
Intuition and a familiar map
Different criteria in every region
Spreadsheets and ad hoc analyses
Overlap discovered after installation
Field checks disconnected from the plan
WITH A ROLLOUT COMMAND SYSTEM
Coverage gaps found and sized first
Every candidate scored on one shared model
Overlap and cannibalisation checked before rollout
Shortlisted sites confirmed or rejected on the ground
A ranked, field-confirmed rollout plan everyone can defend
OFFICE TO FIELD
From office shortlist to field-confirmed rollout
One rollout workflow. The office finds and ranks candidate sites, field teams confirm or reject them on the ground, and the decision updates on the same shared basis. Then the next region runs the same logic.
IN THE OFFICE · PLAN
Find and rank the candidates
Detect white spaces and undercovered areas worth filling
Compare candidate sites on one scoring model
Rank likely winners by coverage gain and overlap
CANDIDATE RANKING
Riverside
Station north
Old town
IN THE FIELD · VALIDATE
Confirm the site or reject it early
Check physical fit: footprint, access, visibility
Confirm surroundings and everyday pickup convenience
Reject weak sites before budget is committed
Field checks run in CleverMaps Field, the mobile app your field team already carries in a pocket.
CLEVERMAPS FIELD · REAL APP, DEMO DATA
BACK TO DECISION · ROLL OUT
Approve the batch and repeat
Field results update the same site record and ranking
Approved sites enter the rollout in staged batches
The next region and market reuse the same logic
ROLLOUT · BATCH 1
Riverside
APPROVED
Station north
APPROVED
Old town
REJECTED
2 SITES TO INSTALL · BATCH 2 IN SCORING
THE SCORING MODEL
Why some candidates deserve rollout, and others do not
A locker earns its place through several factors at once, and their weight differs by territory. A city-centre commercial zone rewards passing footfall and daily routines. A suburban catchment rewards nearby households and easy access by car.
One shared basis that reflects territory, built on trusted location data joined with your own network and parcel volumes, and validated across distance bands from 200 m to a 10-minute walk. The same model scores the lockers you already run, so network review and expansion follow one logic.
SCORE COMPOSITION
How much each factor weighs in the site score, by territory
City centre
Suburban
DEMAND
Nearby population and parcel demand
90
84
ATTRACTION
Commercial attractiveness of the spot
82
44
ACCESS
Accessibility and everyday convenience
68
86
COVERAGE GAIN
Likely contribution to network coverage
56
92
OVERLAP
Overlap with your existing network
74
66
COMPETITION
Competitor lockers and pickup points
60
48
City centre: footfall and the quality of the spot decide
Suburban: nearby households and coverage gain decide
ILLUSTRATIVE WEIGHTS · TUNED PER MARKET AND TERRITORY
WHAT TEAMS GET
What changes for the rollout team
ROLLOUT BUDGET
Fewer weak placements, less budget wasted
Thin demand and unworkable spots fail in scoring or in the field check, before a locker is ordered, installed and quietly underused.
NETWORK HEALTH
Coverage grows without cannibalisation
Overlap is checked at network level before every batch, so new boxes add pickups instead of splitting them with your own network.
HQ + FIELD
One handoff from shortlist to approval
Office and field work the same site record, agreement comes faster, and the same rollout logic repeats in every region and market.
WHY CLEVERMAPS
Tools that describe are not tools that decide
SPREADSHEETS
Good for lists, weak for network logic
A spreadsheet cannot see that two candidates share a catchment, and criteria drift between files and regions.
DASHBOARDS
Good for reporting, weak for choosing the next box
A dashboard tells you how existing lockers did last quarter. It does not rank candidates or send a shortlist to the field.
GENERIC GIS
Good for specialists, not a rollout workflow
GIS shows the layers, but a rollout team needs scoring, ranking and field validation it can run itself, without a GIS desk.
ONE-OFF STUDY
Good once, weak as an operating model
A consulting deliverable answers one batch and ages. The network asks the same question again every quarter.
CLEVERMAPS
A shared rollout decision system
Scoring, ranking, field validation and batch approval for the next parcel locker locations, in one repeatable workflow from office to field.
Built on trusted location data, shared decision logic and one platform that runs the decision from office to field.
PROOF
Proven on a national locker rollout
FEATURED CASE STUDY
The data science behind Dr. Max parcel locker expansion
Dr. Max shortlisted parcel locker sites centrally with catchment modelling and demand scoring, then expanded the network with sharper site selection and less wasted capital. The same rollout workflow now plans new regions.
LOGISTICS · OUT-OF-HOME DELIVERY
30-MINUTE WORKING SESSION
Bring the markets you are evaluating now
Give us the regions, cities or candidate sites on your list. In 30 minutes we will show how CleverMaps would rank the next parcel locker locations and take the shortlist to the field, on your own network.