material-procurement-tracker
Track material procurement from requisition to delivery. Monitor lead times, vendors, and costs.
git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction /tmp/material-procurement-tracker && cp -r /tmp/material-procurement-tracker/1_DDC_Toolkit/Procurement/material-procurement-tracker ~/.claude/skills/material-procurement-trackerSKILL.md
# 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 - ProcurementGenerate automated daily progress reports from site data. Track work completed, labor hours, equipment usage, and weather conditions.
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Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.
Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.
Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.
Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.