Rona AI Overview
An intelligent operations assistant built into every module of Rona ERP. Natural-language access to your data — trace lots, generate reports, flag anomalies, and get insights without writing complex queries or navigating multiple screens.
What makes Rona AI different
- Reads your live data, not generic training data
- Understands your specific schema from day one
- No setup required — works immediately
- Context-aware across all modules
- Natural language interface — no SQL needed
- Real-time insights and anomaly detection
Core capabilities
Lot tracing
Trace any lot across production hops with natural language. Ask “Trace lot LOT-2026-001” and get complete genealogy from receipt to shipment.
Report generation
Generate comprehensive reports across any module. Ask “Summarize last month’s production cost” and get a detailed breakdown.
Anomaly detection
Flag anomalies before they become write-offs — unusual patterns in yield, scrap, inventory levels, and quality issues.
Natural language queries
Ask questions in plain English and get instant answers. No query languages to learn, no complex screens to navigate.
How Rona AI works
Rona AI is integrated directly into your ERP database. It understands your schema, relationships, and business logic from day one.
| Schema understanding | AI learns your database structure automatically |
| Context awareness | Understands relationships between modules |
| Query generation | Converts natural language to optimized queries |
| Response formatting | Presents results in human-readable form |
| Module integration | Works across inventory, manufacturing, quality, sales, finance |
Access points
| Dashboard | Main AI assistant panel with quick insights |
| Inventory | Stock queries, lot tracing, low stock alerts |
| Manufacturing | Production analysis, yield tracking |
| Quality | Inspection analysis, quality trends |
| Sales | Order analysis, customer insights |
| Finance | Financial summaries, cost analysis |
Example queries
Ask anything about your operation
Trace lot LOT-2026-001 across production
5 hops. Received 500 KG Ethio Grain → QA approved → 50 KG consumed PO-BREAD-044 → FG-LOT-2026-001 · 95% yield.
Which items are below reorder point?
2 items. VC-012 Vanilla Cake (12 < 20), DR-045 Dinner Rolls (0 < 40). Draft POs ready for approval.
Summarize last month's production cost
ETB 412,800 total · +4.2% vs prior. Flour drove 61% of variance. Report generated.
Report generation
| Management summary | Cross-module overview with key metrics |
| Attendance | Presence, lateness, and overtime |
| Production | Output, efficiency, and downtime |
| Inventory valuation | Stock on hand and total value |
| Quality | Inspections and pass rate |
| Sales | Orders, revenue, and top products |
| Finance | Profit, receivables, and invoices |
Reports can be scheduled for automatic delivery or generated on demand — as PDF, Excel, or JSON.
Anomaly detection
| Yield drops | Production yield below expected |
| High scrap | Unusual scrap levels |
| Stock discrepancies | Physical count vs system |
| Quality failures | Increased inspection failures |
| Payment delays | Unusual payment patterns |
| Attendance issues | Unusual absence patterns |
Privacy and security
| Tenant isolation | AI only accesses your organization's data |
| Permission respect | AI respects user permissions |
| No data export | Your data stays in your environment |
| Audit logging | All AI queries are logged |
| Row-level security | Database-level enforcement |
Query cheat sheet
- "Which lots are expiring this month?"
- "What's the total stock value?"
- "Summarize last week's production"
- "Which invoices are overdue?"
- "Who was late this week?"
Natural language queries
Query patterns, follow-ups, and cross-module examples that get answers faster.