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Mobile Application Redesign for Enhanced Swine Production Workflow
  1. case
  2. Mobile Application Redesign for Enhanced Swine Production Workflow

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Mobile Application Redesign for Enhanced Swine Production Workflow

cheesecakelabs.com
Agriculture
Information technology

Challenges in Swine Production Management

Legacy mobile application suffered from low adoption rates due to poor user experience, paper-based documentation workflows, and limited functionality in rural areas with poor connectivity. Agricultural technicians faced inefficiencies in task completion and data management.

About the Client

A Latin American technology company specializing in swine production solutions, backed by Cargill's investment

Key Project Goals

  • Improve task completion speed by 300% compared to existing solutions
  • Achieve 5,000+ app downloads within initial deployment phase
  • Enhance user adoption through intuitive interface design
  • Enable seamless offline functionality for rural operations

Core System Requirements

  • Smart Kanban CRM board for workflow visualization
  • Offline-enabled checklist creation and submission
  • Mobile task scheduling with calendar integration
  • Photo and data capture with automatic sync
  • Client visit tracking with contextual information display

Technology Stack

Cross-platform mobile development framework (React Native/Flutter)
Progressive Web App (PWA) capabilities
Cloud-based data synchronization layer

System Integrations

  • Existing Cargill agricultural data systems
  • Farm management databases
  • Cloud storage for media files

Non-Functional Requirements

  • Offline-first architecture with local data persistence
  • Sub-2 second load times for core features
  • AES-256 data encryption for field data
  • Support for 10,000+ concurrent users

Expected Business Impact

300% increase in field technician productivity, 5,000+ active users within first deployment phase, 75% reduction in paper-based documentation, and measurable improvements in farm profitability metrics through data-driven decision making.

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