RouteLens AI Copilot
Live Preview
kcharles.com
Working Duration
6 Weeks
Category
AI Integration
Client
KCharels
Project Overview
RouteLens AI Copilot is an end-to-end optimization suite for dispatch, routing, and driver coordination. It replaces spreadsheet-driven planning with a learning engine that predicts the best route clusters, balances capacity, and automates driver comms in real time.
By connecting telematics, TMS/WMS data, traffic feeds, and client SLAs, RouteLens continuously plans, adapts, and learns from live outcomes—cutting manual work and improving on-time delivery across the board.
Increase in on-time deliveries
Reduction in dispatcher manual work time
Fewer miles driven per stop (fuel & wear)
Key Features
AI Route Planning & Re-planning — dynamic clustering, time-window constraints, live traffic & weather awareness.
Smart Dispatch Board — one screen for capacity, ETAs, exceptions; drag-drop with AI suggestions.
Driver Copilot — mobile assistant with live updates, POD capture, issue tagging, and auto-messages to customers.
Predictive Delays & SLA Alerts — detects risk early and proposes fixes (reroute, swap, micro-hub).
KPI & Cost Dashboard — route cost, service level, fuel, idle time; cohort and lane analytics.
Integrations — plugs into TMS/WMS/ERP, telematics (GPS/OBD), and messaging tools; secure API.
Solutions
High-Variance Last-Mile — frequent changes, tight windows, urban constraints.
Multi-Depot / Cross-Dock — balances loads across hubs, reduces empty miles.
B2B & B2C Mix — different SLAs and delivery protocols in a single plan.
Cold-Chain / Sensitive Cargo — temp and dwell constraints included in routing logic.
Impact
By replacing manual routing with a self-optimizing system, the client achieved consistent lead time reduction, fewer exceptions, and steadier SLA performance.
Teams reported clearer visibility, faster issue resolution, and measurable savings on fuel and overtime – without increasing headcount.