The solution

A planning system, not a set of tools

AGROPLAN 360™ integrates commercial planning, manufacturing, supply chain, finance and artificial intelligence into a single enterprise governance model, designed for the reality of the agricultural inputs industry.

ONE SINGLE BUSINESS PLAN Commercial Planned demand Supply Chain Materials and stock Manufacturing Feasible capacity Finance Margin and cash AI Decision copilot
Capabilities

What stays installed in your company

The outcome is neither a report nor a platform: it is a lasting enterprise capability, with processes, decision forums, indicators and governed data.

  • A single approved business plan, shared by every function
  • A rolling 12 to 18 month horizon, refreshed on a monthly rhythm
  • Planning bound by real plant, material, regulatory and cash constraints
  • Agronomic and climate intelligence built into the demand signal
  • Executive governance with forums, ownership and decisions on record
  • Scenarios evaluated before the operation is committed
  • Common indicators with an owner, a target and a baseline
  • Artificial intelligence as a planning copilot
  • An extended horizon and a locked plan for biological input production
  • A P&L by profit centre, built inside the planning cycle
Functional scope

Seven domains, one decision flow

Each domain contributes its part to the same plan. None decides on its own.

Commercial

Turns market opportunity into planned demand, with market intelligence, portfolio and pricing.

Supply Chain

Synchronises materials, capacity and inventory across the entire sourcing and distribution network.

Manufacturing

Turns installed capacity into available, feasible and stable production.

Finance

Validates the economic feasibility of the plan: margin, EBITDA, working capital and cash flow.

Agronomic Intelligence

Crop calendars, application windows, regional behaviour and field signals built into the plan.

Analytics

Turns data into decisions: dashboards, predictive models and scenario simulation.

Artificial Intelligence

A planning copilot: anticipates, detects anomalies, recommends and explains. It does not replace human judgement.

CONTROL TOWER Weather Plant Market Stock Field / NDVI
The differentiator

Agronomic intelligence inside the plan

This is the domain that sets AGROPLAN 360™ apart from any generic planning methodology. In agricultural inputs, demand does not follow the commercial calendar: it follows the crop calendar.

That is why the model plans not only by SKU, but also by crop, region, agronomic window and grower type, incorporating the real seasonal behaviour of each campaign.

Sowing calendars Application windows Regional behaviour Weather signals Campaign history
Biological inputs

Seed and biologicals: a cycle that cannot be rescheduled

Classic industrial planning assumes that production responds to an order. That assumption breaks down when the product is a living organism: in hybrid seed, eighteen to thirty months pass between the decision to produce and the labelled bag, the sowing opportunity comes once a year per hemisphere, and the volume is not ordered — it is attempted.

A formulation line is rescheduled within a shift. A seed production lot is sown once a year, and that decision admits no correction.

AGROPLAN 360™ brings a dedicated model for these products: an extended horizon, an explicit translation from commercial demand into hectares to be sown, deliberate dispersion of field risk, planning against the industrial constraint of intake and drying, postponed packaging, and allocation rules agreed before they are needed.

Hybrid seed Parent seed and counter-season Grower contracting Inoculants Biocontrol agents Biostimulants

The nine stages of the cycle

Each stage has its own horizon, its own constraints and its own irreversible decision point. The whole plan is built backwards from the opening of the sowing window in the destination market.

01 Demand by hybrid
02 Parent seed plan
03 Area and contracting
04 Sowing and field operations
05 Harvest and intake
06 Lot purchase and settlement
07 Conditioning and conversion
08 Quality and release
09 Packaging and allocation

What changes against a formulated input

The differences are not of degree but of nature: each one invalidates a standard practice of classic industrial planning and demands a substitute mechanism.

Extended horizon

Up to thirty-six months for commercial seed and forty-eight for parent seed, against the eighteen of a formulated input.

Plan lock point

After sowing, the committee stops deciding how much to produce and starts deciding how to allocate. The cycle must recognise that change of nature.

A mix that is obtained

The caliber distribution is an outcome of the process, not a decision variable: the plan is expressed by hybrid and caliber, not by hybrid alone.

Quality that is verified

Germination cannot be corrected. It requires a test and a waiting period, and it governs the real commercial availability date of the lot.

Dispersed risk

Every critical hybrid is produced in more than one independent area, and counter-season production covers the failure of a whole campaign.

Postponed packaging

Seed is held in its most generic form and packed against firm country allocation, not against a forecast.

With biological inputs, service level is not measured against the order date: it is measured against the opening of each region’s sowing window.

FORECAST EARLY ALERT SCENARIOS EXPLANATION
Applied artificial intelligence

Faster and better-founded decisions

AI joins the planning process as a copilot: it brings anticipation, spots what no human eye has time to review, and leaves the final judgement where it belongs — with the people accountable for the business.

Intelligent forecasting

Models that learn from how the market actually behaves.

Anomaly detection

Out-of-range patterns flagged automatically.

Inventory recommendation

Coverage proposals aligned with the target service level.

Scenario simulation

Impact evaluated before the operation is committed.

Fundamentals

Ten guiding principles

Every process, indicator and decision in the framework derives from these principles.

01 One single version of the plan
02 Rolling horizon with monthly review
03 Constraint-based planning
04 Agronomic intelligence built in
05 Collaborative decision governance
06 Management by indicators
07 A digitalised process
08 AI as an accelerator, not a replacement
09 Permanent simulation
10 Continuous improvement
The full methodological development —models, matrices, algorithms and proprietary parameters— is presented in an executive session and under a confidentiality agreement.
Next step

Let’s talk about your operation

A 60-minute executive session is enough to place your organisation within the maturity model and estimate the value at stake. No commitment and under confidentiality.