Supply chain intelligence at 10,000+ farmer scale

Services

Supply Chain
Data Science

Technology

React
Python

About

Sahyadri Farms

Traceability and forecasting at farmer network scale.

Challenges

Sahyadri Farms needed systems that could scale with operational complexity — replacing manual coordination and disconnected tools that slowed decision-making.

Manual workflows consumed team capacity and introduced errors at scale.
Legacy tooling could not support modern analytics or automation requirements.
Integration gaps between departments created data silos and delayed responses.

Project Journey

1. Discovery & architecture
Workflow mapping, technical design, and rollout plan.
2. Core platform build
Engineering of primary user workflows and integrations.
3. Data & automation
Pipelines, rules engines, and AI where appropriate.
4. Launch & enablement
Training, runbooks, and operated handoff.

Scope

Discovery & architecture

Workflow mapping, technical design, and rollout plan.

Core platform build

Engineering of primary user workflows and integrations.

Data & automation

Pipelines, rules engines, and AI where appropriate.

Launch & enablement

Training, runbooks, and operated handoff.

Results

Delivered sahyadri farms food processing on schedule with measurable operational improvements
Reduced manual coordination overhead across teams
Integrated with existing systems without big-bang disruption
Documented runbooks and monitoring for sustained operations

Production

Grade delivery

Measurable

Business outcomes

Operated

Post-launch support