CurbMind Ops

Mobile command center for dispatchers with agentic exception handling

The story

What I delivered

Last-mile delivery fails on exceptions: access issues, customer not available, traffic spikes, and dwell time delays. Dispatch teams often rely on manual triage across maps, chats, and dashboards.

This matters because last-mile is a major cost center. Multiple industry sources estimate last-mile can account for around 50%+ of total delivery cost.

Opportunity: shift from dashboards to an action-first agent system that detects risk, proposes options, routes approvals, and sends comms.

Audience: Dispatchers and fleet operations teams managing live delivery routes, exceptions, and SLA performance, plus drivers who need fast, clear route updates and instructions.

Detect Risk

Detects late risk early (telemetry + traffic + dwell signals)

Explaining



Explains root cause
(why it is happening)

Define Trade-Offs

Proposes actions with trade-offs (stop swaps, reroutes, reassignments)

Gated Actions


Gates high-impact actions behind approvals

Automation

Automates comms to drivers/customers

Agent system

Research signals and numbers that shaped the design

Signal 1: Late deliveries are driven by exceptions and operational variability
Ops teams need systems that detect and handle exceptions quickly to protect on-time performance.

Signal 2: Last-mile is disproportionately expensive
Industry research commonly cites last-mile as ~50%+ of delivery cost, which makes small operational improvements meaningful.

Signal 3: Proactive communication reduces “where is my order” volume
Customer comms and accurate ETAs are repeatedly highlighted as key to reducing support burden.

Design implications

  • “Decision queue” over “monitoring dashboard”

  • Action gating (autopilot vs approval)

  • Explainability and trace view for trust

  • Comms studio baked into the workflow

Users

  • Dispatcher: triage, approve, resolve exceptions fast

  • Driver: receive route changes and clear instructions

  • Customer Support: proactive messaging, accurate ETAs

  • View Conceptual Prototype