My Lane AI
I help operations teams reduce freight cost to serve, improve DIFOT performance, and implement AI-enabled reporting that actually gets used.
Identify cost to serve drivers, optimise carrier mix, and uncover margin leakage across lanes and service types.
Diagnose root causes of delivery failures and build practical reporting that improves reliability - not just dashboards.
Implement lightweight AI tools and automation that reduce manual reporting and generate actionable operational insights.
I design and prototype task specific AI agents that solve real operational problems in transport and supply chain environments.
Agent based systems that move beyond static dashboards.Instead of simply reporting what happened, they monitor data streams, detect emerging risks, and surface operational issues automatically - reducing manual oversight and accelerating decision making.In transport environments, this means earlier detection of compliance exposure, recurring DIFOT failures, cost drift, and service instability.
PROTOTYPE
Chain of Responsibility (CoR) Compliance Agent
Monitors scheduling and compliance signals to flag potential fatigue and mass exposure risks before breaches occur.
IN DEVELOPMENT
DIFOT Root Cause Agent
Analyses delivery performance across lanes and carriers to identify systemic causes of service failure - not just late shipments.
ROADMAP
Fuel Levy & Invoice Audit Agent
Tracks fuel levy movements, market rate and contracted rates against invoices to detect cost drift and billing leakage.
I’m developing practical agent-based systems focused on compliance, service performance, and freight cost control.I'm always open to connecting with operators exploring practical AI in transport.
Based in Australia. Working across transport and supply chain environments.
© 2026 My Lane AI
Built and maintained by Darren Grundy
Melbourne, Australia