Building a Data Dashboard to Shift Agribusiness Crop Decisions
Replaced intuition-driven crop planning with a data dashboard tracking rainfall, crop prices, and input costs to inform planting decisions.
Sauravjeet Singh
Operations Lead at Self-employed
From their time as
Operations Lead
Self-employed • 2025
Overview
Sauravjeet joined the family agribusiness at a point where crop planning was driven by informal signals: what neighbors were growing, what appeared in the news, or what had worked the previous season. There was no structured view of input costs, price cycles, or climate suitability.
The Story
Sauravjeet joined the family agribusiness at a point where crop planning was driven by informal signals: what neighbors were growing, what appeared in the news, or what had worked the previous season. There was no structured view of input costs, price cycles, or climate suitability.
He built an operational dashboard that pulled together multiple years of rainfall data, historical crop price fluctuations, and input cost estimates by crop type. The dashboard gave the family a structured basis for deciding which crops to grow each season, replacing informal pattern-matching with data-informed planning.
In parallel, he engaged export traders and distribution intermediaries for the family's regional fruit, moving sales from the local mandi to direct export channels. He negotiated vendor contracts for a waxing plant that extended shelf life, enabling the export-grade quality the new channels required.
He also conducted primary research with established farmers who had already set up polyhouse infrastructure, gathering specific operational insights on roof type selection, crop suitability, and productivity benchmarks. Those conversations directly shaped the polyhouse setup decisions, including the choice of a naturally ventilated roof design suited to the local climate.