Functional DemoSaaS

Predictive Harvest Revenue Engine

A crop revenue and profit forecasting engine that models yield, price, expenses, risk, and break-even before harvest.

What it solves

Farm income depends on acres, yield, weather, input costs, commodity prices, basis, contracts, and insurance — factors that live in scattered spreadsheets, broker calls, weather tools, and USDA data and are rarely connected. Farmers still have to manually answer what they are likely to make, what happens if price or yield drops, and where their break-even sits, so they are often surprised by margin compression.

Built for Large farm owners and farm managers/operators; secondarily farm CFOs/controllers, agricultural consultants, and agricultural lenders.

Overview

HarvestIQ turns crop, acreage, yield, price, and expense inputs into a clear seasonal profit forecast months before harvest. It computes gross revenue, net profit, margin, break-even price, and break-even yield, and generates conservative, base, and optimistic scenarios alongside weather, market, yield, expense, and overall risk scores. A confidence model tells users how much to trust each forecast, every assumption is labeled by source, and reports are lender-ready. External market and weather data flow through provider adapters with clearly labeled sample-versus-live data.

What this demonstrates

The engineering focus is a clean separation of forecast, scenario, risk, and confidence logic into tested service modules kept out of the UI, plus a provider-adapter architecture (market, weather, yield, expense) that labels every value's source, confidence, and mock/live status and supports manual overrides. Financial formulas handle edge cases (zero production, zero price/acres) safely, and calculations are unit-tested.

What makes it different

HarvestIQ helps farms forecast crop revenue, profit, and risk months before harvest — combining scattered price, weather, yield, and expense data into one clear seasonal forecast.

Simplicity above everythingUsers answer simple questions and get a powerful forecast, not a model to build.
Financial clarity firstLead with revenue, profit, margin, break-even, risk, and next action.
Data transparencyAlways show which assumptions are entered, imported, estimated, sample, or missing.
Progressive disclosureSimple dashboard by default; advanced detail on demand.
Human language over technical language

Core capabilities · 12

Revenue Calculation Engine
Computes gross revenue, production, and per-acre revenue from harvested acres, yield, and price.
Expense Calculation Engine
Normalizes per-acre and total expenses across 18 categories into true net profit.
Scenario ModelingConservative / Base / Optimistic
Generates conservative, base, and optimistic cases with adjusted yield, price, and expenses.
Risk Scoring
Scores weather, market, yield, expense, profit, and overall risk with plain-English drivers.
Confidence Model
Rates forecast trust as high, medium, or low based on data completeness and season timing.
Break-Even Analysis
Calculates break-even price and break-even yield with safe handling of zero values.
Market Data Layer
Blends contracted, cash, futures-plus-basis, and benchmark prices through a defined price hierarchy.
Weather Risk Layer
Abstracts drought, heat, rainfall, soil-moisture, and irrigation risk into a weather outlook.
Crop Library
Defines nine U.S. crops with units, defaults, expense templates, and sensitivity settings.
Manual Override Layer
Lets users override yield, price, expenses, basis, acres, and contract terms, with tracking.
Provider Data Architecture
Routes market, weather, yield, and benchmark data through labeled providers, never faking live data.
Report Generator
Produces lender-ready reports with forecast, scenarios, expenses, risk, and assumptions.

How it works

Sign up and create an organization
Create a farm
Select state and county
Add a crop forecast and select the crop
Enter planted and harvested acres
Enter planting and harvest dates
Review suggested yield and price assumptions
Enter or confirm expenses
Generate the forecast
See revenue, profit, scenarios, risk, and break-even

How the risk score works

Overall Risk

Weather risk
Drought, heat, precipitation, soil-moisture, and irrigation exposure.
Market risk
Price volatility, basis uncertainty, and share of crop contracted.
Yield risk
County and farm yield variance, crop stage, and weather stress.
Expense risk
Fertilizer, fuel, labor, interest, and land-rent exposure.
Profit risk
Distance between expected and break-even price and yield.
Overall risk
Combined seasonal risk level with the main driver.

Key screens

DashboardRevenue, profit, margin, break-even, risk, scenario and crop cards.
Farm Setup
Crop Forecast Builder
Forecast Detail
Expense Editor
Market Assumptions Panel
Weather Risk Panel
Reports
Login / Signup

Data model

User
Organization
OrganizationMember
Farm
Field
CropPlan
Forecast
ForecastScenario
ExpenseItem
MarketPriceSnapshot
WeatherRiskSnapshot
ForecastAssumption
Report

Screens · 5

HarvestIQ dashboard for North Quarter Farm showing expected revenue $1,968,660, expected profit $237,660, and zone and crop cards with risk labels. — Farm forecast dashboard

HarvestIQ Farms page with one farm card, North Quarter Farm in Story, Iowa (2,400 ac, 3 zones, 2 crops), plus Manage farm and Add farm buttons. — Farms list

HarvestIQ 'Add a farm' form with fields for farm name, state, county, optional address, and total acres. — Add farm form

HarvestIQ Crops catalog grouped into grains, vegetables, fruits, and cash crops, each crop card showing yield and price per unit. — Crop catalog

HarvestIQ farm report for North Quarter Farm showing revenue, net profit, and margin totals with profitability by crop, zone breakdown, and scenario tables. — Farm profitability report

How it is built

A Next.js app using Prisma over SQLite in development and PostgreSQL in production, with Auth.js for accounts and organizations. Forecast, scenario, risk, and confidence calculations live in dedicated service modules; external market and weather data are fetched through provider adapters (sample/mock by default, live weather via a keyless provider when configured), each result tagged with source and confidence.

APIs and services

Auth.js

Classification

Capabilities: Financial Modeling Analytics Reporting Authentication Dashboards Multi-Tenant Architecture Third-Party Data Enrichment
Technologies: Docker Next.js Node.js PostgreSQL React Tailwind CSS TypeScript Prisma SQLite Zod

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