Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P64 · Implementation blueprint · Mappls Logistics Optimizer
Route Emissions, ESG & Sustainability Intelligence
Organisations cannot consistently connect route, fleet, facility and land-use decisions to auditable emissions and climate outcomes.
01 · Target operating outcome
Define the change before choosing the technology
Which routes, assets or operating policies create the largest avoidable emissions per unit of service?
Lower fuel/emissions; better EV/network decisions; audit-ready sustainability reporting and risk prioritisation.
Target
Baseline reconciled; intervention impact accepted; data lineage/reporting and implementation owner agreed.
02 · Solution architecture
One connected flow from source data to operational action
Route/fleet emissions estimates, EV transition scenarios, idle/detour analytics, asset/climate exposure, geospatial ESG evidence and dashboards. Mappls connects proprietary map and location intelligence with route/fleet emissions estimates, ev transition scenarios, idle/detour analytics, asset/climate exposure, geospatial esg evidence and 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
Orders · Planning · Dispatch · Control tower · Proof
Decision and outcome
Lower fuel/emissions; better EV/network decisions; audit-ready sustainability reporting and risk prioritisation.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
ESG/Sustainability
Sponsor / owner
Logistics
Manager / analyst
Strategy
Manager / analyst
CSO
Manager / analyst
COO
Operator / specialist
CFO
Operator / specialist
Data/Analytics
Operator / specialist
Fleet
Operator / specialist
Reporting
Operator / specialist
Transport 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
ClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsGeoAI & Spatial Decision Models
ML/AI, risk, demand, accessibility, image and anomaly models
Product detailsInTouch / Gtropy Fleet Platform
Tracking, trips, alerts, ETA, fleet and control tower
Product detailsAsset & Personal Trackers
Battery/portable/asset location and alert devices
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
Baseline one fleet/network/asset portfolio and model top reduction scenarios with operational validation.
- Confirm data, geography, users and workflow: What fleet/fuel/activity data and reporting standard apply? Which decisions can change?
- Configure Mappls Logistics Optimizer for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Baseline reconciled; intervention impact accepted; data lineage/reporting and implementation owner agreed.
- Package production scope and commercial model: Analytics project + platform/data subscription + managed reporting.
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