X
TREAD Map is a SaaS-based social-mapping application targeted at land managers and trail users. It improves trail management for various governmental agencies, offers social features for users of all kinds, and enables local businesses to promote their services and opportunities.
The State Department of Tourism, the US Forest Service, and the National Park Service needed to communicate emergencies and other information more quickly and effectively to all recreational trail users in Washington State.
They also wanted improved trail usage data, more feedback from users about conditions and facilities, and additional funding streams for maintenance and safety.
Build a geo-spatial social-mapping app for 3 distinct user groups with 5 distinct goals.
Land managers from various state and federal agencies
Trail users of all types
Local businesses owners near recreation sites
Enable land managers to communicate quickly & effectively to all types of trail users.
Features to broadcast safety information in real time.
Ability to raise money to build and maintain local trail systems.
Allows local businesses to connect with trail users to promote services and opportunities.
Ability for trail users to navigate safely, create user generated content, and get timely and relevant information.
AI Focused Development
Leveraged generative AI tools to collect, compile, and publish real-time communications, weather and trail conditions, and trip report narratives.
Aggregated numerous expert sources (land manager briefings, traffic reports, weather alerts, hazard announcements, user trip reports) and personalized using machine learning to create relevant, unified, real-time field narratives.
Applied predictive analytics to manage trail usage and disperse use to prevent overcrowding.
Consulted with client on how machine learning can be applied to distinct user types with differing goals.
Created plan that uses geo-spatial AI to map information and capture key user data.
Consulted and developed best ways to present mapped data and enable user communications.
Built app demo to demonstrate geo-spatial AI functionality and backend data analytics potential.
Developed app that relied heavily on machine learning, AI-powered mapping, and user data mining.
Deployed team to ensure quality control and AI data integrity.
Guided app through the publishing hurdles of various app stores.
Worked with client to develop new features and watch for new publishing requirements.
+
+
=
Using Geo-Spatial AI, machine learning, and data analytics, we developed TREAD Map Washington, a social-spatial-commerce app for the Washington State Department of Tourism.
TREAD Map solved all client objectives, surpassing expectations with improved trail management.
Frontend & Design
Backend
What TREAD Map clients say
AI for your business?