Baseline
Agree the current volume, time, cost, failure, risk or revenue metric before implementation.
P58 · Data, APIs, AI & Developer Platforms
Critical decisions ignore spatial relationships because business, sensor and external geospatial data are not modeled together.
Use it in Mappls Pro
Analyse customers, catchments, networks, territories, demand, competition and risk with explainable spatial models and decision-ready maps. Use a one-click demo profile, enter as Strategy leader, Network planner, Data analyst or choose another application-specific role.
Customer and operating context
The executive question
Which recurring decision would materially improve if location context were modeled rather than viewed?
The Mappls response
ClarityX/mGIS, spatial data engineering, GeoAI/ML, risk/demand/accessibility models, scenario analysis, alerts and decision dashboards.
Mappls connects proprietary map and location intelligence with clarityx/mgis, spatial data engineering, geoai/ml, risk/demand/accessibility models, scenario analysis, alerts and decision 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.
Value and ROI hypothesis
Faster, repeatable decisions; better targeting and resource allocation; reduced manual analysis and blind spots.
Agree the current volume, time, cost, failure, risk or revenue metric before implementation.
Measure data fit, workflow completion, coverage, adoption and decision speed during the proof.
Translate the operating improvement into revenue, cost, risk, service or asset-utilisation impact.
Use agreed success criteria to choose production scope, ownership and commercial model.
Departments and operating ownership
Owns the business or mission outcome and defines where GeoAI, Spatial Analytics & Decision Intelligence creates measurable value.
Translates the desired outcome into product, service, workflow and adoption requirements.
Connects users, operational data and day-to-day decisions so the capability becomes part of real work.
Provides the data, integration, security and governance foundation required for trusted production use.
Measures performance, risk, compliance and continuous improvement after deployment.
Programme readiness
Proof of value
Decision diagnostic and back-test for one use case, followed by live shadow recommendation cycle.
Decision diagnostic and back-test for one use case, followed by live shadow recommendation cycle.
Model lift and explainability accepted; decision time reduces; operational owner and monitoring agreed.
Why Mappls
Proprietary map/data foundation plus low-code GIS, APIs, AI and domain solution experience.
ML/AI, risk, demand, accessibility, image and anomaly models
Product detailsMarket, territory, network and spatial decision analytics
Product detailsBattery/portable/asset location and alert devices
Product detailsPlaces, building-level addresses and location identity
Product detailsCommercial path
Analytics project + platform/data subscription + managed model service.
Expansion path
Planning, approvals, assets and projects are managed in disconnected layers, limiting scenario analysis, coordination and citizen service.
ExploreHazard, exposure, asset and response data are fragmented, limiting preparedness, prioritisation and rapid situational awareness.
ExploreTerritories, beats and outlet coverage are often inherited rather than built from current demand, travel and market potential.
ExploreCampaign targeting and measurement lack reliable geographic audiences, store/trade-area context and offline outcome linkage.
ExploreYour outcome, powered by Mappls
We’ll help define the smallest proof that can answer the production decision with credible evidence.