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Grow Agriculture

Digital Traceability for Sustainable Coconut Sugar Production

Connecting Farmers, Factories, and Consumers Through Digital Innovation

Grow Agriculture

Project Details

Services

  • Web Development
  • UI/UX Design
  • Wireframe
  • Prototype

Timeline

3 Months

Deliverables

  • Design System
  • UI Design
  • Mobile Design
  • Landing Page

About Projects

This project is a digital transformation initiative for Grow Agriculture, a collective agriculture group mentored by the central government. The aim is to provide end-to-end visibility and control over the production process of coconut sugar, starting from the source (coconut trees) to the final packaged product.

The Candi sugar factory, a key stakeholder, needed a system to trace the journey of coconuts where they were planted, who owned them, who collected them, and every stage of the production process, including cooking and packaging, identifying the responsible personnel at each stage.

To address these needs, the team developed an integrated solution combining desktop applications, mobile apps, websites, and dashboards, allowing stakeholders to manage and monitor all processes with efficiency.

The project also incorporates a land management system for tracking coconut and non-coconut plantations, detailing the farmers, crop types, and regional information.

Challenge

Several challenges defined the scope of the project:

1

Technology Adoption Gap

Many stakeholders ranging from farmers to warehouse workers had minimal exposure to digital tools, requiring the solution to be extremely user-friendly and intuitive. A scan-based system was introduced to minimize complexity and eliminate reliance on manual data entry.

2

Complexity of Processes

The production workflow involved numerous interconnected steps, from raw materials arriving at warehouses to production, quality checks, and packaging. Each step required precise tracking to ensure quality, compliance, and accountability.

3

Transparency and Accountability

Ensuring transparency across the supply chain required all activities raw material reception, production stages, and final goods movement to be logged, with employee IDs tied to each action.

4

Diverse Data Requirements

The system needed to handle multiple variables, including:

  • Product Types: Differentiating between powder, liquid, and molded forms of coconut sugar.
  • Quality Metrics: Logging and verifying quality standards for each batch.
  • Packaging Options: Managing primary and secondary packaging for retail and bulk goods.
  • Batch and Complementary Batch Tracking: Monitoring batch weights, leftover materials, and any supplementary batches.

Solution

The solution developed by the team combines multiple digital tools to provide seamless management and tracking across the supply chain:

1

Centralized Tracking System

  • A scan-based system ensures quick and accurate logging of seller IDs, employee IDs, product information, and purchase order (PO) details.
  • Every transaction, from raw material reception to outbound product delivery, is recorded for complete traceability.

2

Application Ecosystem

  • Desktop App: For use in factories and warehouses to manage production data and material movements.
  • Mobile App: For field operators and administrators to update land and crop information, as well as manage farmer profiles.
  • Web Dashboard: Provides a comprehensive overview of operations, batch data, and real-time status updates.

3

Land Management Module

  • A system to log and manage coconut and non-coconut plantations, including farmer details, crop conditions, and regional distribution.
  • Helps the central administration monitor plantation productivity and sustainability.

4

Simplified User Interface

Designed to bridge the technology gap, the solution uses an intuitive interface with features like barcode and QR code scanning to streamline processes for users unfamiliar with advanced systems.

The Why Behind the Design

The design process prioritized the needs and challenges of all stakeholders, from farmers and warehouse employees to factory administrators, emphasizing a stakeholder-centered approach. Multiple feedback loops were integrated to ensure the system's usability and functionality met diverse requirements. To simplify workflows, processes were broken down into logical, step-by-step flows. For example, purchasing involved scanning seller IDs and logging product quality during raw material reception.

Raw material management focused on tracking batches entering and exiting the warehouse while meeting weight and quality targets. The production process emphasized logging employee IDs for accountability and maintaining quality control records. Packaging and storage processes distinguished between primary and secondary packaging as well as retail and bulk goods, ensuring accurate batch tracking. Throughout the design and development phases, iterative development was key. Continuous testing with users helped refine workflows, reduce errors, and improve overall efficiency.

Old design

Highlighting Decisions

The system features integrated dashboards that provide real-time insights into raw material batches, production progress, and the status of finished goods, enabling administrators to monitor targets such as weight, quality, and output in a single view. Mobile accessibility is supported through an app that simplifies field data management, allowing updates on plantation conditions, farmer registrations, and crop statuses directly from the field.

End-to-end traceability ensures that every product can be tracked back to its origin, offering detailed records of where and when a coconut was harvested, who processed it, and how it was packaged. Additionally, a scan-based system minimizes errors by reducing manual inputs, making processes faster and more reliable while maintaining accountability. Furthermore, all data processed from the initial stages to delivery is integrated into a system that generates export documents, including packing lists and invoices, ensuring seamless data flow and enhanced operational efficiency.

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The Result

Operational efficiency has been enhanced by automating and streamlining processes such as raw material reception, production, and packaging. The implementation of barcode and QR code scanning has significantly reduced manual errors. Improved transparency is achieved through comprehensive traceability, offering visibility across the supply chain from plantation to final product.

Stakeholders can access detailed records for every batch, enhancing accountability and quality assurance. The system is also designed for scalability, capable of managing increasing data volumes and adaptable to similar supply chains in other industries. Additionally, faster workflows and better coordination between departments, purchasing, warehouse, production, and packaging, have led to measurable gains in productivity.

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