Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P39 · Implementation blueprint · Mappls Location Analytics Studio
Retail/QSR Site Selection & Store Intelligence
Site decisions depend on fragmented catchment, competition and cannibalisation assumptions, while store networks need location-aware performance diagnostics.
01 · Target operating outcome
Define the change before choosing the technology
How many proposed sites would change rank if catchment demand, travel time and cannibalisation were measured consistently?
Higher new-site hit rate and sales; lower cannibalisation and survey cost; faster approval and portfolio optimisation.
Target
Model separates performance cohorts; shortlist accepted by expansion team; decision time reduced.
02 · Solution architecture
One connected flow from source data to operational action
Catchment and drive-time analysis, POI/demographics, competition, demand scoring, cannibalisation, network gaps and store/ATM/branch dashboards. Mappls connects proprietary map and location intelligence with catchment and drive-time analysis, poi/demographics, competition, demand scoring, cannibalisation, network gaps and store/atm/branch dashboards. We start with one measurable workflow, prove the operating impact, and scale through reusable data, APIs and SaaS rather than a one-off implementation.
Data foundation
Map, customer, asset, sensor and enterprise data
Intelligence services
Search, routing, GeoAI, rules and spatial models
Role workflows
Data workspace · Catchments · Models · Scenarios · Decision board
Decision and outcome
Higher new-site hit rate and sales; lower cannibalisation and survey cost; faster approval and portfolio optimisation.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Network Planning
Sponsor / owner
Real Estate
Manager / analyst
Expansion
Manager / analyst
Chief Strategy/Expansion Officer
Manager / analyst
Analytics
Operator / specialist
Finance
Operator / specialist
Operations
Operator / specialist
GIS
Operator / specialist
Strategy leader
Operator / specialist
Network planner
The shared Mappls identity is separated from application membership. A user can be an administrator in one app, an analyst in another and a viewer elsewhere.
04 · Data and integration
Connect the minimum information needed to make the workflow real
Location foundation
Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.
Enterprise context
Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.
Integration pattern
APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.
Security and control
Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.
Recommended Mappls building blocks
Geo-demographics & Custom Data
Population, market, administrative and customer-enriched location layers
Product detailsStandard 2D Map & Road Data
Road network, attributes, administrative boundaries and cartography
Product detailsClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsGeoAI & Spatial Decision Models
ML/AI, risk, demand, accessibility, image and anomaly models
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
Score one city and back-test model against existing high/low performing sites before ranking new candidates.
- Confirm data, geography, users and workflow: What defines a successful site? Which historical stores and KPIs can train/validate the model?
- Configure Mappls Location Analytics Studio for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Model separates performance cohorts; shortlist accepted by expansion team; decision time reduced.
- Package production scope and commercial model: Data/analytics project + platform subscription + per-market updates.
06 · Rollout and operating model
Move from proof to governed adoption
Week 0–2
Discover
Baseline, data, stakeholders, security and architecture
Week 3–6
Configure
Data connection, role workflows, rules and dashboards
Week 7–10
Prove
Live users, measurement, change support and decision review
Production
Scale
Phased geographies, integrations, service model and continuous improvement