Niyu Smart Stock
Execution: Purchasing, Transfers, and Lead Times
The physical execution mechanisms the system uses to fulfill stock shortages via inter-warehouse movement and optimized external purchasing.
Multi-Warehouse Rebalancing
- Before recommending a purchase, the system evaluates other internal warehouses.
- It identifies a "Donor Warehouse" by calculating:
Current donor stock - Reserved donor stock - Donor reorder protection. - Shortages covered entirely internally trigger a Transfer; partial coverage triggers a Split (Transfer + Buy).
RFQ Generation & Sourcing
- The system creates or updates Draft RFQs by intelligently grouping compatible Action Lines by company, vendor, destination warehouse, and currency.
- Currency defaults in priority order: Supplier info price-list currency > Vendor purchase currency > Company fallback currency.
Purchase Schedule Profiles
- If a rule dictates, large buy recommendations are automatically split into smaller, dated batches using interval spacing to prevent warehouse flooding.
Lead Time Learning
- Instead of static vendor lead times, managers can run an analysis wizard on historical PO/receipt data.
- It filters out negative durations or extremes (>730 days) and proposes a realistic lead time based on the rounded P80 (80th percentile) to accommodate for supplier delays.
Operational UI: Dashboards & Action Lines
A breakdown of the daily workspaces used by inventory planners to review health, take action, and verify AI recommendations.
Setup: Niyu MCP Server for Odoo
Native MCP endpoint for Odoo with admin-controlled access, model permissions, CRUD operation presets, audit logs, and support for MCP clients such as ChatGPT, Claude, Cursor, Codex, VS Code, and other compatible tools. The module is designed for teams that want AI tools to work with real Odoo context without exporting CSV files, exposing database credentials, or giving uncontrolled access to every model.