Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P51 · Implementation blueprint · Mappls Property Intelligence Workbench
Real Estate, Property Search & Location Intelligence
Property discovery, valuation, site diligence and portfolio decisions use inconsistent address, neighbourhood, access and development context.
01 · Target operating outcome
Define the change before choosing the technology
Which location facts most change a buyer, tenant, lender or investor decision—and how consistently are they available?
Higher search conversion and lead quality; faster diligence; better pricing/site/portfolio decisions.
Target
Match/enrichment and search quality accepted; decision/conversion lift demonstrated; update cadence agreed.
02 · Solution architecture
One connected flow from source data to operational action
Property/address geocoding, search/map UX, neighbourhood POIs, travel-time, catchment, risk, development layers, portfolio GIS and APIs. Mappls connects proprietary map and location intelligence with property/address geocoding, search/map ux, neighbourhood pois, travel-time, catchment, risk, development layers, portfolio gis and apis. 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
Case board · Property identity · Inspection & evidence · Approvals · Benchmarks
Decision and outcome
Higher search conversion and lead quality; faster diligence; better pricing/site/portfolio decisions.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Product
Sponsor / owner
Investment/Strategy
Manager / analyst
Sales
Manager / analyst
CEO
Manager / analyst
Chief Investment Officer
Operator / specialist
Data Science
Operator / specialist
GIS
Operator / specialist
Valuation
Operator / specialist
API
Operator / specialist
Credit manager
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
Geocoding & Reverse Geocoding
Address-to-coordinate and coordinate-to-address
Product detailsMappls Pin / Digital Address
Compact digital location identity and address workflows
Product detailsPOI, Address & Building Data
Places, building-level addresses and location identity
Product detailsGeo-demographics & Custom Data
Population, market, administrative and customer-enriched location layers
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
One-city property master enrichment and search/analytics pilot with outcome back-test.
- Confirm data, geography, users and workflow: What property master and outcomes exist? Which neighbourhood, access and risk factors matter?
- Configure Mappls Property Intelligence Workbench for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Match/enrichment and search quality accepted; decision/conversion lift demonstrated; update cadence agreed.
- Package production scope and commercial model: Data/API licence + analytics platform + custom project.
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