| PO | Product | Origin | Destination | Status | Risk Level |
|---|---|---|---|---|---|
| PO-4501 | Blueberries | Cape Town, ZA | Rotterdam, NL | In Transit | Low |
| PO-4502 | Table Grapes | Stellenbosch, ZA | London, UK | In Transit | Medium |
| PO-4503 | Avocados | Limpopo, ZA | Hamburg, DE | Preparing | Low |
| PO-4504 | Citrus Mix | Durban, ZA | Dubai, AE | In Transit | Medium |
| PO-4505 | Mangoes | Mozambique | Rotterdam, NL | In Transit | Low |
| PO-4506 | Stone Fruit | Western Cape, ZA | New York, US | Preparing | Medium |
| PO-4507 | Macadamia | KwaZulu-Natal, ZA | Shanghai, CN | In Transit | Low |
AI assistant will analyze your orders and flag quality risks in real time.








Analyze quality metrics to ensure consistency, strengthen sourcing strategies, and build better supplier relationships.
Get instant notifications about supply chain risks so you can act fast and avoid costly claims.
Optimize packing and distribution with data-backed predictions that reduce waste and streamline workflows.
Identify quality risks before they happen using AI-driven forecasts from weather, logistics, and cold chain data.
Up to a 40% reduction in quality-based rejections by identifying risks early and taking proactive measures.
Decrease in product wastage through predictive shelf-life and smarter operations.
Faster quality control intake time by prioritising batches based on AI-powered insights.
Improved visibility on contingency purchases to avoid unnecessary costs.