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Enhancing Dairy Value Chain Efficiency with TraceX’s Role & Hierarchy-Based Feature

TechnoServe, a globally recognized nonprofit, is dedicated to reducing poverty through private sector solutions. One of its transformative initiatives focuses on strengthening India’s dairy value chain, ensuring better productivity, profitability, and sustainability for farmers, cooperatives, and processing units. 

Operating across Tamil Nadu, Maharashtra, and Uttar Pradesh, TechnoServe collaborates with dairy partners to optimize milk quality, enhance supply chain efficiency, and improve farmer livelihoods. However, managing a multi-tiered dairy network—spanning state, district, taluk, Bulk Milk Chilling Centers (BMC/MCC), and villages—posed significant operational, traceability, and compliance challenges. 

To address these issues, TechnoServe implemented TraceX’s Role & Hierarchy-Based Feature, bringing structured data collection, real-time supervision, and seamless coordination across the dairy ecosystem.

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Hierarchy-Based Feature

About the Company

TechnoServe is a prominent nonprofit organization dedicated to alleviating poverty by leveraging the power of the private sector. It supports individuals in the developing world to enhance their farms, businesses, and industries, thereby fostering economic growth and sustainable development.  One notable initiative is in the dairy value chain which involves dairy partners working across Tamil Nadu, Maharashtra, and Uttar Pradesh, to improve the dairy industry and its associated benefits. 

Industry

Foundation – Non Profit Organization 

Region

India- Tamil Nadu, Maharashtra, Uttar Pradesh

Use Case

Strengthening milk traceability with an objective covering animal welfare and women empowerment 

Features Used

  • Hierarchy and Role Management 
  • Farmer Onboarding 
  • Dairy Master 
  • Dashboarding & Reporting 
  • API Integrations 

Challenge 

Fragmented Data Collection & Lack of Role-Based Access 

  • Dairy supply chains involved multiple stakeholders, from village-level milk producers to state-level policymakers. 
  • No structured role-based data access, leading to inconsistent reporting, duplication, and lack of transparency. 

Inefficient Supervision & Quality Monitoring 

  • Supervisors struggled to monitor milk collection centers (BMC/MCCs) across different regions due to manual record-keeping. 
  • Inaccurate milk quality data led to rejections, wastage, and compliance risks. 

Delays in Decision-Making & Payment Processing 

  • Limited access to real-time insights meant that dairy cooperatives and processors couldn’t track milk movement efficiently. 
  • Delayed quality checks and approvals caused payment lags to farmers, impacting their income stability. 

Scalability Challenges Across Expanding Operations 

  • As the organization onboarded new dairy regions and partners, the lack of a flexible digital hierarchy system created workflow disruptions. 
  • Manual onboarding and reporting made scaling inefficient and time-consuming.

Solution

Hierarchy-Based Feature, Hierarchy Based Feature
Role-Specific Data Access & Permissions
  • Village-Level Farmers – Recorded milk quantity, hygiene compliance, and quality parameters through mobile-friendly data entry. 
  • BMC/MCC Supervisors – Monitored milk collection volumes, flagged quality concerns, and validated farmer-supplied milk before processing. 
  • Taluk & District Managers – Gained access to aggregated reports on milk sourcing trends, farmer contributions, and quality compliance. 
  •  State-Level Decision-Makers – Used centralized dashboards to track dairy performance metrics and optimize procurement strategies. 
Quality Assurance & Digital Audits
  • Enabled real-time validation of milk quality across collection centers, preventing contaminated milk from entering the supply chain. 
  • Automated digital audits ensured compliance with international dairy standards. 
Scalable & Adaptive Dairy Management
  • Allowed seamless onboarding of new regions, cooperatives, and dairy processing centers, making expansion effortless. 
  •  Real-time hierarchical updates ensured new roles could be accommodated without operational bottlenecks. 

Results

Faster Farmer Registration & Sapling Distribution 

  • Vriksha Sewaks registered farmers directly in the system without manual approvals. 
  •  NGO Area Managers verified and approved farmers in bulk using the import function, reducing delays. 

Before TraceX: Approvals took weeks due to lack of structured workflows. 
After TraceX: Approvals were completed in hours with automated role-based workflows. 

Increased Operational Transparency & Real-Time Monitoring 

  • Supervisors and project managers had restricted views only for their assigned areas, eliminating confusion. 
  • Audit logs tracked all modifications, ensuring accountability and compliance. 

Before TraceX: No visibility on who modified farmer or tree data. 
After TraceX: Complete transparency with real-time tracking of all activities. 

Enhanced Data Security & Compliance  

  • Role-based restrictions ensured only authorized users could access sensitive data. 
  •  Multi-tiered permissions aligned with organizational structure, improving workflow governance. 

Before TraceX: Anyone could modify any project data, risking compliance failures. 
After TraceX: Controlled, hierarchical access ensured data security and regulatory compliance. 

Key Takeaways

  • Hierarchical Access = Improved Efficiency: Structured user access eliminates confusion and approval delays. 
  • Data Security is Critical: Role-based restrictions protect farmer and plantation data from unauthorized modifications. 
  •  Real-Time Monitoring Boosts Accountability: Audit logs ensure compliance and transparency in large-scale projects. 
  •  Seamless User Workflows Reduce Errors: Permissions align with organizational hierarchy, preventing data mishandling. 

 

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