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How We Built a Botanical App for Alpine Gardens - Case Study

Alpine Case Study

Plant Identification App for Betty Ford Alpine Gardens

Industry: Travel & Hospitality

Service: Digital Engineering

Executive Summary

Visitors at Betty Ford Alpine Gardens in Colorado were walking through the winding trails surrounded by rare alpine plants. And they were left with questions like: “What was that stunning flower I just saw?” or “What is that unique plant called?” That’s why their field photographer approached us to create an app that would identify different plants easily. We built a clever, AI-powered mobile guide that could identify plants instantly, even without the internet.

About the Client

Betty Ford Alpine Gardens is a world-famous botanical institution nestled in the high altitudes of Colorado. With thousands of annual visitors, the garden wanted to raise the bar for education and engagement by bringing vivid plant photography and fascinating alpine flora facts straight to guests’ mobile screens.

Plant ID app for Betty Ford Alpine Gardens showing flower catalog, species details, and user interaction

Business Challenge

Alpine Gardens needed an app that made offline access effortless but didn’t skimp on media quality. We had to support hundreds of high-res plant images without turning the app into a storage hog. Remote mountain trails meant no Wi-Fi or 5G. Our offline-first approach meant blazing-fast search and filtering, whether visitors were in the city or miles out on a trail. Every pixel mattered. The app had to reflect the garden’s prestigious brand and look visually stunning. High-res plant photos are gorgeous but bulky. How do you fit hundreds of them without clogging devices? And thinking ahead, we built for future growth, ready for features like AR-based plant ID and audio tours.

Solution

Our team at Clixlogix went all in, crafting a native app for iOS and Android packed with smart offline capabilities and a beautifully immersive UI. The app was designed to feel as natural as the gardens themselves.

Core Features

Visitors could pre-download expertly curated plant profiles

Images and descriptions were stored locally using SQLite, so exploring was always instant.
We built an automated pipeline to compress images without losing detail

File sizes were shaved by 60%, plus adaptive loading made every photo look sharp no matter the device.
Users could hunt for plants by botanical name, keyword, or category tag, with quick seasonal browsing and plant type filters making discovery a breeze.
We focused intensely on design: everything from the typography to the color palette and layout matched the Alpine Gardens brand

Easy navigation made single-handed use on trails seamless.
The app’s modular core meant adding future features

AR overlays, audio guides, CMS integration could now be done quickly and cleanly.

Results

Offline plant profiles feature showing flower details available without internet connection

Users loved it. Plant profiles and gorgeous images were always available, even in zero-connectivity zones.

Faster image loading in Plant ID app using SwiftUI and Jetpack Compose update.

After the upgrade to SwiftUI and Jetpack Compose, image loading times dropped by 45%, making everything feel snappier than ever.

Future-ready app architecture supporting new features like search and filters

The architecture made adding new features straightforward, so the app can evolve without being rebuilt from scratch.

Five-star user reviews highlighting offline usability and beautiful plant imagery.

The best proof? Consistently rave reviews in the App Store and Google Play. Users called out the offline usability and beautiful imagery as top reasons for their five-star ratings.

Tech Stack

  • Frontend (Native Mobile): iOS: Swift + SwiftUI (upgraded from legacy Objective-C); Android: Kotlin + Jetpack Compose
  • Backend: Node.js, Express.js
  • Database: PostgreSQL, SQLite (on-device)
  • Cloud: AWS S3 for media hosting, CloudFront CDN for initial content delivery
  • Offline Storage: SQLite with background sync service
  • Search Engine: SQLite FTS (Full Text Search) for offline queries

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