Supply Chain and Inventory Management – Backorder Management System

 

Notes:

• Problem Solved: Automatically identifies and tracks backorders, alerting when items are replenished.

• Benefits: Enhances customer satisfaction by reducing missed or delayed orders.

• Adoption: Can be tied into order management systems for real-time backorder tracking.

Python Code:

import pandas as pd

class BackorderManager:

    def __init__(self, orders_df, inventory_df):

        self.orders = pd.DataFrame(orders_df)

        self.inventory = pd.DataFrame(inventory_df)

    def check_backorders(self):

        merged = pd.merge(self.orders, self.inventory, on='ProductID', how='left')

        merged['BackorderedQty'] = merged['OrderQty'] - merged['InStock']

        merged['BackorderedQty'] = merged['BackorderedQty'].apply(lambda x: max(0, x))

        return merged[['OrderID', 'ProductID', 'BackorderedQty']]

# Sample data

orders = [

    {'OrderID': 'O1', 'ProductID': 'P100', 'OrderQty': 50},

    {'OrderID': 'O2', 'ProductID': 'P101', 'OrderQty': 20},

    {'OrderID': 'O3', 'ProductID': 'P102', 'OrderQty': 10},

]

inventory = [

    {'ProductID': 'P100', 'InStock': 30},

    {'ProductID': 'P101', 'InStock': 25},

    {'ProductID': 'P102', 'InStock': 0},

]

manager = BackorderManager(orders, inventory)

backorders = manager.check_backorders()

print(backorders)