Primary operating owner
Head Logistics; Transport Planning; Control Tower
P32 · Representative solution case · Logistics / Supply Chain
Transportation Management, Dispatch & Route Optimisation
How much freight spend is locked in empty kilometres, low utilisation and avoidable detention?
Evidence distinction: this is a representative solution case constructed from the source requirements and Mappls delivery pattern. It is not presented as a named-customer outcome unless a separate verified customer story is explicitly linked.
01 · Operating context
The decision environment and the problem to change
Manual planning and disconnected transporter, order and route data inflate kilometres, empty runs, detention and planning effort.
Economic decision
COO; Supply Chain Director
Technical influence
TMS Product; ERP/SAP; Fleet Operations
Why action becomes urgent
Freight tender, network redesign, cost pressure, new plant/DC, ERP upgrade, control-tower programme.
02 · Before and after
Change the operating model, not only the interface
Fragmented context and delayed action
Manual planning and disconnected transporter, order and route data inflate kilometres, empty runs, detention and planning effort.
- Location, operational and enterprise data remain separated
- Stakeholders make inconsistent decisions from partial context
- Exceptions are found late and evidence is difficult to reconstruct
A governed location-aware decision loop
Load.ai/TMS, order/vehicle matching, route and load optimisation, dispatch, ePOD, freight workflows, ETA and control-tower analytics.
- One role-aware workspace in Mappls Logistics Optimizer
- Live context moves directly into the responsible workflow
- Every decision, scenario and outcome can be measured and audited
03 · Stakeholder experience
One shared system, different role moments
Own and govern
Head Logistics
Own and govern
Transport Planning
Decide and coordinate
Control Tower
Decide and coordinate
COO
Decide and coordinate
Supply Chain Director
Execute and verify
TMS Product
Execute and verify
ERP/SAP
Execute and verify
Fleet Operations
Inside Mappls Pro, the same user can hold this role here and a different role in another application. Membership, saved runs and administration remain app-specific.
04 · Day-in-the-life journey
How the solution turns information into an operational result
Frame the operating decision
What orders, vehicle constraints, lanes and cost rules are available? How are plans overridden?
Connect the location foundation
Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Logistics workspace.
Act through role workflows
Orders, Planning, Dispatch, Control tower, Proof give each stakeholder the information, decision and action appropriate to their role.
Prove the intervention
4-6 week lane/depot pilot replaying historical loads and running live shadow dispatch.
Scale and continuously improve
Operationalise the model through SaaS per vehicle/order/user + integration/NRE + managed optimisation., adoption governance, service measurement and a managed improvement backlog.
05 · Solution and data architecture
The Mappls capabilities behind the experience
Location foundation
Map, address, place, route, imagery, boundary and context layers
Operational context
Customer, asset, order, sensor, incident, task or transaction records
Application workflow
Orders · Planning · Dispatch · Control tower · Proof
Outcome loop
Savings opportunity validated; planning time reduced; constraint compliance accepted; live integration path agreed.
Load.ai / Transportation Management
Order, vehicle, load, route, dispatch, ePOD and freight workflows
Product detailsFASTag Management
Tag, toll transaction, reconciliation and route cost workflows
Product detailsClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsInTouch / Gtropy Fleet Platform
Tracking, trips, alerts, ETA, fleet and control tower
Product details06 · Outcome and evidence
Make the value claim measurable before scaling
Bounded proof
4-6 week lane/depot pilot replaying historical loads and running live shadow dispatch.
- Confirm the baseline and decision scope: What orders, vehicle constraints, lanes and cost rules are available? How are plans overridden?
- Use representative and, where approved, customer data in the configured workspace
- Review measurable success with the operating and economic owners: Savings opportunity validated; planning time reduced; constraint compliance accepted; live integration path agreed.
- Document data quality, adoption, security, service and scale findings
- Convert evidence into a phased production scope and accountable value plan
07 · Governance and scale
Operate the solution safely and sustainably
Identity and access
Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.
Data governance
Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.
Operating governance
Named process owners, exception SLAs, escalation, change control and adoption measurement.
Value governance
Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.
Your outcome, powered by Mappls
Put Transportation Management, Dispatch & Route Optimisation into your operating context
Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.