Track material procurement from requisition to delivery. Monitor lead times, vendors, and costs.
Scanned 2/12/2026
Install via CLI
openskills install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction---
slug: "material-procurement-tracker"
display_name: "Material Procurement Tracker"
description: "Track material procurement from requisition to delivery. Monitor lead times, vendors, and costs."
---
# Material Procurement Tracker
## Business Case
Long lead items and material procurement require careful tracking to avoid schedule delays.
## Technical Implementation
```python
import pandas as pd
from datetime import date, timedelta
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class ProcurementStatus(Enum):
REQUISITIONED = "requisitioned"
RFQ_SENT = "rfq_sent"
QUOTED = "quoted"
PO_ISSUED = "po_issued"
IN_PRODUCTION = "in_production"
SHIPPED = "shipped"
DELIVERED = "delivered"
class Priority(Enum):
CRITICAL = "critical"
HIGH = "high"
NORMAL = "normal"
LOW = "low"
@dataclass
class ProcurementItem:
item_id: str
description: str
spec_section: str
quantity: float
unit: str
required_date: date
lead_time_days: int
status: ProcurementStatus
priority: Priority
vendor: str = ""
po_number: str = ""
po_amount: float = 0.0
order_date: Optional[date] = None
expected_delivery: Optional[date] = None
actual_delivery: Optional[date] = None
@property
def must_order_by(self) -> date:
return self.required_date - timedelta(days=self.lead_time_days)
@property
def is_late_to_order(self) -> bool:
if self.status in [ProcurementStatus.PO_ISSUED, ProcurementStatus.IN_PRODUCTION,
ProcurementStatus.SHIPPED, ProcurementStatus.DELIVERED]:
return False
return date.today() > self.must_order_by
class MaterialProcurementTracker:
def __init__(self, project_name: str):
self.project_name = project_name
self.items: Dict[str, ProcurementItem] = {}
self._counter = 0
def add_item(self, description: str, spec_section: str, quantity: float,
unit: str, required_date: date, lead_time_days: int,
priority: Priority = Priority.NORMAL) -> ProcurementItem:
self._counter += 1
item_id = f"PROC-{self._counter:04d}"
item = ProcurementItem(
item_id=item_id,
description=description,
spec_section=spec_section,
quantity=quantity,
unit=unit,
required_date=required_date,
lead_time_days=lead_time_days,
status=ProcurementStatus.REQUISITIONED,
priority=priority
)
self.items[item_id] = item
return item
def issue_po(self, item_id: str, vendor: str, po_number: str,
amount: float, expected_delivery: date):
if item_id in self.items:
item = self.items[item_id]
item.status = ProcurementStatus.PO_ISSUED
item.vendor = vendor
item.po_number = po_number
item.po_amount = amount
item.order_date = date.today()
item.expected_delivery = expected_delivery
def update_status(self, item_id: str, status: ProcurementStatus):
if item_id in self.items:
self.items[item_id].status = status
if status == ProcurementStatus.DELIVERED:
self.items[item_id].actual_delivery = date.today()
def get_items_to_order(self) -> List[ProcurementItem]:
"""Get items that need to be ordered soon."""
cutoff = date.today() + timedelta(days=14)
return [i for i in self.items.values()
if i.status in [ProcurementStatus.REQUISITIONED, ProcurementStatus.RFQ_SENT,
ProcurementStatus.QUOTED]
and i.must_order_by <= cutoff]
def get_late_items(self) -> List[ProcurementItem]:
return [i for i in self.items.values() if i.is_late_to_order]
def get_summary(self) -> Dict[str, Any]:
by_status = {}
total_value = 0
for item in self.items.values():
status = item.status.value
by_status[status] = by_status.get(status, 0) + 1
total_value += item.po_amount
return {
'total_items': len(self.items),
'by_status': by_status,
'total_po_value': total_value,
'items_to_order': len(self.get_items_to_order()),
'late_items': len(self.get_late_items())
}
def export_log(self, output_path: str):
data = [{
'ID': i.item_id,
'Description': i.description,
'Spec': i.spec_section,
'Qty': i.quantity,
'Unit': i.unit,
'Required': i.required_date,
'Lead Time': i.lead_time_days,
'Must Order By': i.must_order_by,
'Status': i.status.value,
'Vendor': i.vendor,
'PO': i.po_number,
'Amount': i.po_amount
} for i in self.items.values()]
pd.DataFrame(data).to_excel(output_path, index=False)
```
## Quick Start
```python
tracker = MaterialProcurementTracker("Office Tower")
item = tracker.add_item(
description="Structural Steel W14x90",
spec_section="05 12 00",
quantity=500,
unit="TON",
required_date=date(2024, 6, 1),
lead_time_days=90,
priority=Priority.CRITICAL
)
tracker.issue_po(item.item_id, "ABC Steel", "PO-2024-001", 450000,
date(2024, 5, 15))
urgent = tracker.get_items_to_order()
print(f"Items needing order: {len(urgent)}")
```
## Resources
- **DDC Book**: Chapter 3.4 - Procurement
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