Cut produce wastage from 18%
to under 5% with AGI.
Upload procurement data, quality records, or cold chain logs. Get supplier risk scores, procurement timing intelligence, and export compliance alerts in under 30 seconds.
8 daysearly
Procurement Timing Risk
Before forced spot sale
0–100
Supplier Quality Score
Per supplier, per commodity
Real-time
Cold Chain Risk Alert
Temp excursion predicted
40% → 9%avg
Produce Wastage Reduction
After AI intervention
Real Pain → AI Solves It
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Actual AI output from real agricultural supply chain data. Upload your report and get this analysis in under 30 seconds.
The Pain
We procure onions from 3 farm clusters. Prices swung from ₹12/kg to ₹38/kg last year and we had 40 tonnes of wastage because of wrong timing.
Raw data signal
Cluster A yield estimate: 420 MT | Cluster B: 280 MT | Cluster C: 190 MT | Arrival window: Sept 12–20 | Cold storage capacity: 600 MT | Last year wastage: 40 MT | Moisture at arrival: 14–18%
OpsOracle AI Output
Total estimated arrival: 890 MT vs cold storage capacity of 600 MT — 290 MT will have no storage and must be sold immediately at spot price. With moisture at 14–18% on arrival (optimal: < 12%), shelf life without cold storage is 7–10 days. Price risk: if 290 MT is forced into spot market simultaneously, prices will crash below procurement cost.
[THIS WEEK] Action
Stagger procurement: book Cluster A (420 MT) for Sept 12 delivery. Delay Cluster B and C by 8 days to allow cold storage rotation. Negotiate a moisture threshold of < 12% in procurement contracts to extend shelf life. Book spot cold storage capacity immediately for contingency.
Expected impact: Reduce forced spot sales from 290 MT to < 80 MT. Prevent ₹14.5L in procurement losses from distress selling at ₹5/kg below cost.
The Pain
Our mango processing facility has 18% fresh produce rejection at intake due to quality failures. Graders are inconsistent and we're losing ₹6–8L per week.
Raw data signal
Intake: 8,200 kg/day | Rejected at intake: 1,476 kg (18%) | Reason: Overripe 42% | Bruising 31% | Size OOS 18% | Other 9% | Supplier A: 8% rejection | Supplier B: 24% rejection | Supplier C: 31% rejection
OpsOracle AI Output
18% system rejection masks a 4× variation between suppliers: Supplier A (8%) vs Supplier C (31%). Supplier C alone contributes 47% of all rejections despite being only 1 of 3 suppliers. Overripe (42%) + bruising (31%) suggests transit time or packaging failure — not farm quality. Root cause: Supplier C uses open-truck transport vs Supplier A's refrigerated vans.
[THIS WEEK] Action
Immediate: require refrigerated transport for Supplier B and C — specify max transit temp 12°C. Quality contract amendment: rejection above 12% triggers automatic price deduction. Supplier C: 30-day probation or contract review.
Expected impact: Reduce system rejection from 18% to under 9% = save 738 kg/day = ₹3.7–5.5L/week at ₹50–75/kg net margin.
The Pain
We export fresh grapes to Dubai. Last 2 shipments had 14% cold chain failure complaints from the importer. We're risking our export certificate.
Raw data signal
Shipment 1: Pre-cool temp 2°C → Container temp logged 8°C at Dubai port. Shipment 2: Pre-cool 1.8°C → logged 7.4°C. Transit time: 6 days by sea. APEDA complaint: 2 filed. Importer rejection value: ₹4.2L
OpsOracle AI Output
Cold chain is breaking between India pre-cooling and Dubai port arrival — temperature rising 5–6°C in transit. At 7–8°C, table grapes experience accelerated SO₂ oxidation (from fumigation pads) causing berry bleaching: the most common importer complaint for Indian grape exports. 2 APEDA complaints in consecutive shipments = automatic APEDA audit trigger.
[THIS WEEK] Action
Immediate: switch to thicker (200g vs 100g) SO₂ pads to buffer temperature variation. Specify reefer container set-point at -1°C (not +2°C) to account for door-opening losses. Add a real-time temperature logger (₹1,200/shipment) with Dubai port alert. File voluntary APEDA explanation before audit demand arrives.
Expected impact: Prevent export certificate suspension worth ₹1.8Cr in annual export revenue. Recover ₹4.2L in importer claims on next 2 shipments.
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