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CoreGrit for Grain, Rice & Food Processing
Lift head rice recovery and account for every kilogram from paddy intake to dispatch.
- Paddy to Rice Execution
- CoreGrit application
- Rice Mill & Agri Processing Operations
- Built for
- 6 segments
- Industry coverage
- Configured to your IT and security requirements
- Deployment
The application
Lift head rice recovery and account for every kilogram from paddy intake to dispatch.
CoreGrit for Grain, Rice & Food Processing is the CoreGrit application for paddy-to-rice and food operations. It tracks intake, drying, storage and milling as one continuous process, so head rice recovery and milling losses are explained by the conditions that produced them. Every kilogram is accounted for from intake to dispatch.
Where it applies
KPIs in view
Built for
Rice Mill & Agri Processing Operations
- Head rice recovery
- Drying optimization
- Moisture intelligence
- Yield & loss accounting
The problem
Where mill value leaks
Head rice recovery losses
Breakage is decided upstream — at intake moisture and drying — but only measured downstream, at the mill.
Inconsistent drying and moisture control
Drying decisions rest on operator judgement per batch, so the same paddy is treated differently on different days.
Untracked silo and batch movement
When lots are blended and moved without a record, the link between input quality and milling result is lost.
Unexplained milling yield gaps
The difference between expected and actual outturn is recorded as a number, not as a cause.
Manual, paper-based production records
Registers and logbooks make traceability an archaeology exercise and reconciliation a monthly one.
The capability
What CoreGrit puts in their hands
Silo batch tracking
Lot identity maintained through intake, storage, blending and milling.
Moisture intelligence
Moisture tracked as a continuous variable across intake, drying and storage.
Drying optimization
Drying decisions guided by the conditions that protect grain quality rather than by shift habit.
HRR optimization
Head rice recovery analysed against the upstream conditions that determine it.
Yield & loss accounting
Every kilogram accounted for from paddy intake to dispatch.
Connect → Contextualise → Detect → Decide → Improve
- ConnectIntake weighbridge, moisture meters, dryer and mill controls, silo and dispatch records.
- ContextualizeReadings become lots, silos, drying cycles and milling runs with identity preserved.
- CorrelateIntake quality, drying history and milling outturn are related to one another.
- Intelligently actDrying and milling decisions are made on the conditions that drive recovery.
Inside GRAIN, RICE & FOOD
Four capability areas, deployed together or one at a time
Start with the module that covers your biggest gap and extend across the layer as the pilot proves out.
Silo & Batch Tracking
Lot identity maintained from intake through storage and blending.
Moisture & Drying Intelligence
Moisture and drying history tracked as the variables that decide breakage.
HRR Optimization
Head rice recovery analysed against its upstream causes.
Yield & Loss Accounting
Paddy-to-rice accounting that closes, batch by batch.
- Source data
- Process context
- KPI / deviation
- Evidence
- Owner / action
- Outcome
- Scope
- Rice Mill & Agri Processing Operations
- Modules
- Silo & Batch Tracking · Moisture & Drying Intelligence · HRR Optimization · Yield & Loss Accounting
One environment across paddy to rice execution.
Before you ask
Common questions
Anything else is a good use of the 30-minute operational diagnostic.
Do we have to replace our existing systems?
No. ProcessGrit works above the systems you already use — SCADA, PLC/DCS, MES, ERP, QMS/LIMS, maintenance, IoT and scheduling systems stay where they are. It adds the context, calculation and workflow layer between them and the operating decision.
How quickly does a deployment go live?
Diagnose — define the pain point, baseline and available data. Configure/Pilot — configure the process, KPIs, views and workflow. Validate/Deploy — validate with users and deploy the agreed scope. Improve/Scale — review outcomes and extend to more lines, sites or use cases. Each stage has an owner, an output and an exit criterion rather than a fixed duration.
How much of our team's time does it take?
Two to four hours per week from your team during the pilot. No data scientists are required — adoption support includes playbooks, training and change management.
We still run on registers and logbooks. Is that a problem?
No — replacing paper records is part of what the layer does. Intake, drying, silo movement and milling runs become digital records without changing how the mill operates day to day.
What are hidden operational losses costing you?
Start with one process, one problem and the data already available. We will help map the decision gaps and the value case.
- 5 minUnderstand your process and the systems around it
- 10 minIdentify the decision gap that costs the most
- 10 minMap how ProcessGrit would close it
- 5 minAgree a focused starting point