RouteWise
An intelligent, multi-stop route optimization and navigation application designed to solve the "last-mile routing problem."
✨ Value Proposition
Effortless Efficiency
Converts a scattered list of destinations into a mathematically optimized, traffic-aware path in a single tap.
Cost-Conscious Hybrid Maps
Combines Google Maps and OpenStreetMap datasets to offer robust, highly reliable navigation without expensive subscription API costs.
Instant Collaboration
Share complete routes with up to dozens of optimized waypoints instantly via clean deep links with client drivers or teammates.
📍 Core Capabilities
Smart Multi-Stop Builder
Predicts addresses instantly via Google Places autocomplete or Photon geocoding. Easily manage, reorder, or lock stop coordinates manually.
Local Optimization Engine
Leverages client-side 2-Opt heuristics to compute shortest paths locally without server delays. Compare distance saved and traffic conditions live.
Navigation & Guidance
Provides a native map rendering with real-time waypoint marks and persistent foreground service tracking to prevent device sleep while driving.
👥 Who Is It For?
| Target Persona | Core Pain Points | How RouteWise Solves It |
|---|---|---|
| Delivery & Logistics Drivers | Back-and-forth driving, manual stop-ordering, dropping network signals, app shutdown in background. | Local TSP sorting engine, native foreground persistence service, and robust multi-stop route planner. |
| Field Sales & Realtors | Planning routes around multiple prospective clients or home listings, losing track of visits. | Quick location lookups, bookmark history, and custom visual markers on a clean map layout. |
| Errand Planners & Families | Juggling grocery runs, school drop-offs, and service appointments in unfamiliar areas. | Simple mobile search and click-to-optimize interface, seamless deep link imports. |
🗺️ User Journey (The Happy Path)
Input Phase
User launches the app, auto-resolves their starting location via GPS, and easily queries and adds stops using the smart autocomplete engine.
Optimize Phase
User clicks "Optimize Route." The local solver orders the waypoints efficiently, drawing the route polyline and calculating metric comparisons.
Execution Phase
User begins driving with real-time tracking, keeping the app alive via a background service, or ports the route to Google Maps with one click.
Archive Phase
After completing all stops, the trip is saved to local storage history for immediate recovery and reuse in future runs.