Data exists in the field, at packing and in inventory, but reconciliation is late and depends on key individuals.
EMS AGRICHAIN suite
How to structure agricultural traceability from field to customer without losing operational reality
Connect campaign, field or herd, interventions, harvest, batch, quality, packing, inventory and delivery.
For: Agriculture, livestock, food, quality, packing, supply chain and IT leadersWhat to clarify before discussing a solution
What information must travel with a batch to explain its origin, status and every relevant transformation?
The answer does not lie in an isolated feature: it is built by connecting rules, actors, data and evidence.A traceability chain proportionate to risk and decisions, with capture points compatible with field reality.
Four decisions to make before configuration
These decisions make the scope testable and prevent structural choices from being discovered during the project.
Choose the traceability unit at each stage
The decision must specify the rule, its owner, the required data and the evidence used to accept it.
Define the transformations that create a new batch
The decision must specify the rule, its owner, the required data and the evidence used to accept it.
Place checks at decision points
The decision must specify the rule, its owner, the required data and the evidence used to accept it.
Plan continuity in degraded mode
The decision must specify the rule, its owner, the required data and the evidence used to accept it.
A readable end-to-end flow
Scope is not a list of modules. It is a chain of events, ownership and decisions.
1Campaign and origin
2Interventions and inputs
3Harvest and batch creation
4Quality and packing
5Inventory, sale and delivery
In the first scoping
- One representative flow and its useful variants
- Authoritative events and minimum data
- Roles, decisions and escalation times
- Acceptance criteria and baseline measurement
To sequence in waves
- Additional sites, activities or populations
- Rare variants that do not condition the pilot
- Automations whose rule is not yet stable
- Advanced dashboards after source reliability
To decide explicitly
- Choose the traceability unit at each stage
- Define the transformations that create a new batch
- Place checks at decision points
- Plan continuity in degraded mode
From direction to measured improvement
- 1Navigator
- 2Personalised review
- 3Scoping workshop
- 4Wave-based deployment
- 5KPI measurement
Each stage produces a decision or evidence reusable in the next. Deployment remains business-led and verifiable.
Measure to decide, not to fill a dashboard
Every KPI needs a definition, a source, a cadence and an associated decision.
KPIFormulaSourceDecision
Traceability completenessBatches with usable genealogy ÷ batches checkedBatches, movements, transformations and evidenceClose chain breaks and clarify evidence
YieldConforming output ÷ input committedInputs, outputs, losses and qualityAddress losses by stage and batch
Losses and downgradesLost or downgraded quantity ÷ harvested quantityHarvest, sorting, quality, storage and packingIdentify where value is lost
Service rateDemand served to commitment ÷ total demandDemand, commitments and actualsAlign priority, capacity and promise
06 · Business scenario
Batch genealogy built around decisions
- Situation
- An agricultural and packing operation tracks many identifiers, but reconstructing the origin of a shipment requires several manual reconciliations.
- Approach
- The project maps transformations, defines traceability units and tests genealogy on one representative product and campaign.
- Target outcome
- Origin research becomes repeatable and losses can be analysed at the right batch level.
Useful answers before the first discussion
01Where should we start in practical terms?
Choose a representative scope spanning “Campaign and origin” and “Interventions and inputs”, then document one normal case and one frequent exception. The first flow should be important enough to matter but contained enough to observe end to end.
02Do all existing systems need replacing?
No. Scoping starts with decisions, authoritative events and ownership. It then determines what should be retained, integrated, replaced or simply better governed, wave by wave.
03What data should be prepared before a workshop?
Prepare a few real cases, the volumes shaping the operation, the main variance reasons and the sources used to measure Traceability completeness. The quality of examples matters more than the quantity of documents.
04How should the right pilot scope be chosen?
Choose a scope with an available owner, accessible data, a meaningful exception and a measurable outcome. Avoid both an overly simple case that proves nothing and an overly broad scope that dilutes learning.
05How can scope changes during the project be limited?
Make assumptions, interfaces, variants, exceptions and acceptance criteria explicit. Every new request can then be classified: essential to the wave, suitable for a later wave, or outside the objective. Discussion focuses on impact rather than intuition.
Next step
Turn this guide into a personalised review
Complete Navigator to position your context, then use the review as the starting point for a scoping workshop.
- 1Navigator
- 2Personalised review
- 3Scoping workshop
- 4Wave-based deployment
- 5KPI measurement
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