> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pylar.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Supply Chain Coordinator

> Build an AI agent that manages inventory levels, tracks shipments, and optimizes reorder points

## Overview

A Supply Chain Coordinator powered by Pylar manages inventory levels, tracks shipments, optimizes reorder points, and ensures efficient supply chain operations.

## What the Agent Needs to Accomplish

The agent must:

* Monitor inventory levels
* Track shipments and deliveries
* Optimize reorder points
* Identify stockouts and overstock
* Analyze supplier performance
* Generate supply chain reports

## How Pylar Helps

Pylar enables the agent by:

* **Unified Supply Chain View**: Combining inventory, shipments, and supplier data
* **Real-time Monitoring**: Querying current inventory and shipment status
* **Automated Optimization**: Calculating optimal reorder points
* **Performance Analysis**: Analyzing supplier and logistics performance

```mermaid theme={null}
graph LR
    subgraph "Data Sources"
        INVENTORY[Inventory]
        SHIPMENTS[Shipments]
        SUPPLIERS[Supplier Data]
    end
    
    PYLAR[Pylar<br/>Unified Views]
    
    TOOLS[MCP Tools<br/>monitor_inventory<br/>track_shipments<br/>optimize_reorder]
    
    AGENT[Supply Chain Coordinator]
    TEAM[Operations Team]
    
    INVENTORY --> PYLAR
    SHIPMENTS --> PYLAR
    SUPPLIERS --> PYLAR
    PYLAR --> TOOLS
    TOOLS --> AGENT
    AGENT --> TEAM
    
    style PYLAR fill:#FF4017,stroke:#CC3300,color:#fff
```

## Without Pylar vs With Pylar

### Without Pylar

**Challenges**:

* ❌ Multiple systems (inventory, shipping, suppliers)
* ❌ Manual inventory tracking
* ❌ Complex reorder calculations
* ❌ Limited visibility

**Implementation Complexity**: \~5-6 weeks

### With Pylar

**Benefits**:

* ✅ Single endpoint for supply chain data
* ✅ Real-time inventory monitoring
* ✅ Automated reorder optimization
* ✅ Comprehensive visibility

**Implementation Complexity**: \~6-7 hours

## Step-by-Step Implementation

### Step 1: Connect Data Sources

1. **Connect Inventory System** (Stock levels, products)
2. **Connect Shipping System** (Shipments, tracking)
3. **Connect Supplier System** (Supplier data, orders)

### Step 2: Create Supply Chain Views

**Inventory Status View**:

```sql theme={null}
CREATE VIEW inventory_status AS
SELECT 
  p.product_id,
  p.product_name,
  i.current_stock,
  i.reorder_point,
  i.max_stock,
  i.avg_daily_sales,
  -- Stock status
  CASE 
    WHEN i.current_stock <= 0 THEN 'Out of Stock'
    WHEN i.current_stock <= i.reorder_point THEN 'Low Stock'
    WHEN i.current_stock >= i.max_stock THEN 'Overstock'
    ELSE 'Normal'
  END as stock_status,
  -- Days until reorder
  CASE 
    WHEN i.avg_daily_sales > 0 
    THEN (i.current_stock - i.reorder_point) / i.avg_daily_sales
    ELSE NULL
  END as days_until_reorder
FROM products p
JOIN inventory.stock i ON p.product_id = i.product_id;
```

### Step 3: Create MCP Tools

**Tool 1: Check Inventory Status**

* `check_inventory_status(product_id: string, warehouse_id: string)`

**Tool 2: Track Shipment**

* `track_shipment(shipment_id: string, order_id: string)`

**Tool 3: Optimize Reorder Points**

* `optimize_reorder_points(product_id: string, lead_time_days: number)`

**Tool 4: Analyze Supplier Performance**

* `analyze_supplier_performance(supplier_id: string, period: string)`

## Example Agent Interactions

**User**: "What products need reordering?"

**Agent**: "Low Stock Alert:

* Product A: 45 units (reorder point: 100) - ORDER NOW
* Product B: 120 units (reorder point: 150) - Order in 3 days
* Product C: 0 units - OUT OF STOCK - URGENT

Supplier Performance:

* Supplier X: 98% on-time delivery, recommend for Product A
* Supplier Y: 95% on-time, recommend for Product B"

## Outcomes

* **Stockouts**: 50% reduction
* **Overstock**: 35% reduction
* **Inventory Costs**: 25% reduction
* **Efficiency**: 60% improvement

## Next Steps

* [IT Operations Monitor Example](/examples/it-operations-monitor)