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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

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:
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