Cement & RMC
Dispatch Precision at Scale

Transform fleet underutilization and fragmented delivery planning into intelligent, automated dispatch operations with AI-driven precision

Industry Concerns

Fleet underutilization, fragmented delivery planning, and delayed PODs undermine customer satisfaction and profitability

Fleet Underutilization

Poor route plans leave trucks idle—wasting capacity and raising costs.

Fragmented Delivery Planning

Uncoordinated planning across locations creates confusion, missed slots, and inefficiency.

Delayed Proof of Delivery (PODs)

Late submission of PODs frustrates customers and delays invoicing, hurting satisfaction and cash flow.

Driver Fatigue Risks

Long shifts and tired drivers increase accident risk and threaten safety.

Manual Documentation Delays

Manual paperwork slows reconciliation, causing costly delays and errors.

Lack of Real-Time Delivery Visibility

Inability to track deliveries live keeps teams and customers in the dark, increasing uncertainty and missed updates.

Theft & Pilferage During Transit

Goods are stolen or tampered with while in transit, causing inventory loss, delays, and higher costs.

Inefficient Return Load Planning & Execution

Poor planning for return trips leaves trucks running empty, wasting fuel, time, and money.

AI Driven Solutions

Linqhaul’s innovative suite of AI solutions transforms mining logistics from pit to port with real-time intelligence and automation.

CORTEX

Agentic orchestration of gate-ins, dock allocations, and transport assignments.

VISION

Video-based driver fatigue detection and compliance automation

JARVIS

Context-aware dispatch planner driven by sales orders and real-time traffic analytics.

Theft and Philfrage reduction

Geofenced, image-verified digital PODs, auto-synced with ERP.

Key Differentiators

Real-Time Traffic Analytics

Dynamic route optimization with live traffic and road conditions

Digital POD with Geofencing

Image-verified digital proof of delivery with geofenced validation

AI-Matched Return Loads

Intelligent return load planning integrated within route optimization

Quantifiable Gains

Measurable transformation across critical dispatch and delivery operations

0 %

Improved Vehicle Utilization

0 %

Digital POD in Less
Than 2 Hours

2 hrs

AI-Matched Return Load Integration