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Soil-In.ai

Demand Forecasting

Price and volume forecasts matched to your supply forecast, so you plant what buyers will take.

Demand Forecasting illustration
AI-generated illustration

The problem

Growers plant on last season's prices. When the market moves, the crop is in the ground and the margin is gone.

Who it is for

Growers, aggregators and exporters selling to Indian and Gulf buyers.

What you get

  • Market price baselines from public mandi and export data
  • Buyer order and sell-through tracking
  • Crop-mix planning for the next cycle
  • Forward-sale guidance tied to P10 supply
  • Seasonal and festival calendar effects

How it works

  1. Collect

    Public price series plus your orders.

  2. Baseline

    Simple, robust seasonal models first.

  3. Match

    Supply forecast vs demand by week.

  4. Plan

    Next-cycle crop mix and sales commitments.

Data it uses

Mandi prices and arrivals, export statistics, your orders and the yield forecast.

How the data platform works

Results

  • Content to come: measured results from the Soil-In test greenhouse
  • Content to come: customer case study, once approved

We do not publish outcome figures until they are measured and verified.

Available in every package

Tier 1

Discover

Price on request

A fixed-scope assessment of your site, data and goals.

  • Site and data audit
  • Sensor and camera plan
  • Service roadmap and business case

Tier 2Most common start

Pilot

Price on request

One or two services on one greenhouse for a full crop cycle.

  • Installation and commissioning
  • Dashboards, alerts and weekly reviews
  • Measured before/after report

Tier 3

Operate & scale

Price on request

Managed services across sites, with platform and API access.

  • Multi-site platform
  • API and data export
  • Named engineer and support SLA (terms to come)

Pricing is not yet published. Packages are quoted per site after the assessment.

Questions

Do you have customer results yet?

Not yet. Our test greenhouse is being built and instrumented. We will publish results only once they are measured and verified.

Does the AI control my greenhouse on its own?

No. An industrial controller with hard-wired safety interlocks runs the equipment. The AI proposes set-points; people approve them until the system has earned trust over a full crop cycle.

Who owns the data?

Commercial and data terms are set out in each agreement. Our default position is that growers own their operating data. Final terms are to come.

Talk to us about demand forecasting.

Tell us about your greenhouse, your land or your supply chain. We reply personally.