Blockchain Solution for Agri-supply Transparency
Budget: ₹250,000 – ₹500,000 INR
We at FreshOnTable are exploring partners to help us build a blockchain-based solution to strengthen transparency and traceability in our supply chain.
As a company that procures fresh produce directly from farms and supplies it to B2B clients, we generate a wide range of critical data points across the supply chain — from harvest and packaging to transit and final delivery.
We are looking to design a system where these data points are recorded on a secure, immutable blockchain ledger to ensure trust, traceability, and tamper-proof auditability across stakeholders.
We’re seeking a team with deep expertise in blockchain infrastructure, ideally with prior experience in supply chain or agri-tech solutions, who can help us:
Identify the right blockchain architecture and protocol,
Integrate the solution with our existing tech stack,
Ensure scalability and performance, and
Build user-friendly interfaces for both internal teams and external stakeholders.
We’re open to exploring both permissioned and hybrid models based on the use case fit.
If your team has the capability and interest, we’d love to connect for a deeper discussion.
As a company that procures fresh produce directly from farms and supplies it to B2B clients, we generate a wide range of critical data points across the supply chain — from harvest and packaging to transit and final delivery.
We are looking to design a system where these data points are recorded on a secure, immutable blockchain ledger to ensure trust, traceability, and tamper-proof auditability across stakeholders.
We’re seeking a team with deep expertise in blockchain infrastructure, ideally with prior experience in supply chain or agri-tech solutions, who can help us:
Identify the right blockchain architecture and protocol,
Integrate the solution with our existing tech stack,
Ensure scalability and performance, and
Build user-friendly interfaces for both internal teams and external stakeholders.
We’re open to exploring both permissioned and hybrid models based on the use case fit.
If your team has the capability and interest, we’d love to connect for a deeper discussion.