P47 · Implementation blueprint · Mappls Material Movement Control

Construction, Cement & Building Materials Logistics

High-volume material movements suffer from dispatch delay, truck queues, route risk, turnaround variability and weak delivery evidence.

01 · Target operating outcome

Define the change before choosing the technology

How many tonnes and truck-hours are lost each day to queue, dispatch, routing and detention variability?

Lower freight and turnaround time; higher trips/truck; fewer diversions and stronger delivery/safety compliance.

Baseline

Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.

Target

Turnaround/ETA visibility accepted; detention/diversion reduce; production integration and economics agreed.

02 · Solution architecture

One connected flow from source data to operational action

Order-to-dispatch TMS, truck routing, plant/yard geofences, ETA, FASTag/toll, fleet/video telematics, ePOD and control tower. Mappls connects proprietary map and location intelligence with order-to-dispatch tms, truck routing, plant/yard geofences, eta, fastag/toll, fleet/video telematics, epod and control tower. 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

Request desk · Planning board · Compliance · Driver execution · Verification & cost

Decision and outcome

Lower freight and turnaround time; higher trips/truck; fewer diversions and stronger delivery/safety compliance.

03 · Users and RBAC

Give every stakeholder the view and actions they actually need

Sponsor / owner

Supply Chain

Sponsor / owner

Logistics

Manager / analyst

Project/Plant Operations

Manager / analyst

COO

Manager / analyst

Supply Chain Director

Operator / specialist

TMS

Operator / specialist

Fleet

Operator / specialist

Dispatch

Operator / specialist

Safety

Operator / specialist

Vehicle requester

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

InTouch / Gtropy Fleet Platform

Tracking, trips, alerts, ETA, fleet and control tower

Product details

Routing & Distance Matrix

Car, truck, two-wheeler, pedestrian and multimodal routes

Product details

Tracking, Geofence & Trip APIs

Live location, trips, geofences, events and playback

Product details

Dashcam / Video Telematics

AI video, ADAS/DMS events and evidence

Product details

05 · Proof of value

Use a bounded implementation to answer the scale decision

Pilot one plant and representative lanes with live dispatch, ETA, geofences and turnaround dashboard.

  • Confirm data, geography, users and workflow: What dispatch/order/vehicle data and constraints exist? Where are queues and diversions measured?
  • Configure Mappls Material Movement Control for the selected role set
  • Run baseline and intervention scenarios with real stakeholder reviews
  • Evaluate agreed criteria: Turnaround/ETA visibility accepted; detention/diversion reduce; production integration and economics agreed.
  • Package production scope and commercial model: Per-vehicle/order SaaS + hardware + integration.

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