diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb
index 44d337b..d12bde4 100644
--- a/lab-python-functions.ipynb
+++ b/lab-python-functions.ipynb
@@ -43,11 +43,157 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "ea69cf8c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "--- Initialize Inventory ---\n",
+      "\n",
+      "--- Get Customer Orders ---\n",
+      "Enter product names to order. Type 'done' when finished.\n",
+      "-> Added 'Cap' to your order list.\n",
+      "-> Added 'Hoodie' to your order list.\n",
+      "-> Added 'Hat' to your order list.\n",
+      "-> Added 'T-Shirt' to your order list.\n",
+      "Warning: 'Hat' does not exist in inventory!\n",
+      "\n",
+      "--- Order Statistics ---\n",
+      "Total products ordered: 4\n",
+      "Percentage of unique products ordered: 75.00%\n",
+      "\n",
+      "--- Updated Inventory ---\n",
+      "T-Shirt: 99\n",
+      "Hoodie: 199\n",
+      "Cap: 299\n",
+      "Socks: 400\n"
+     ]
+    }
+   ],
+   "source": [
+    "from functools import reduce\n",
+    "\n",
+    "def initialize_inventory(products):\n",
+    "    \"\"\"1. Initializes the inventory dictionary using a loop and user input.\"\"\"\n",
+    "    inventory = {}\n",
+    "    print(\"\\n--- Initialize Inventory ---\")\n",
+    "    for product in products:\n",
+    "        while True:\n",
+    "            try:\n",
+    "                quantity = int(input(f\"Enter the stock quantity for '{product}': \"))\n",
+    "                if quantity >= 0:\n",
+    "                    inventory[product] = quantity\n",
+    "                    break\n",
+    "                print(\"Quantity cannot be negative.\")\n",
+    "            except ValueError:\n",
+    "                print(\"Please enter a valid whole number.\")\n",
+    "    return inventory\n",
+    "\n",
+    "\n",
+    "def get_customer_orders():\n",
+    "    \"\"\"2. Prompts the user to enter product names and returns a unique set.\"\"\"\n",
+    "    customer_orders = set()\n",
+    "    print(\"\\n--- Get Customer Orders ---\")\n",
+    "    print(\"Enter product names to order. Type 'done' when finished.\")\n",
+    "    \n",
+    "    while True:\n",
+    "        order = input(\"Enter product name: \").strip()\n",
+    "        if order.lower() == 'done':\n",
+    "            break\n",
+    "        if order:\n",
+    "            customer_orders.add(order)\n",
+    "            print(f\"-> Added '{order}' to your order list.\")\n",
+    "            \n",
+    "    return customer_orders\n",
+    "\n",
+    "\n",
+    "def update_inventory(customer_orders, inventory):\n",
+    "    \"\"\"3. Updates the inventory dictionary based on customer orders (case-insensitive).\"\"\"\n",
+    "    inventory_lowercase = {product.lower(): product for product in inventory}\n",
+    "\n",
+    "    for order in customer_orders:\n",
+    "        order_lower = order.lower()\n",
+    "        \n",
+    "        if order_lower in inventory_lowercase:\n",
+    "            original_name = inventory_lowercase[order_lower]\n",
+    "            if inventory[original_name] > 0:\n",
+    "                inventory[original_name] -= 1\n",
+    "            else:\n",
+    "                print(f\"Warning: '{original_name}' is out of stock!\")\n",
+    "        else:\n",
+    "            print(f\"Warning: '{order}' does not exist in inventory!\")\n",
+    "\n",
+    "\n",
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    \"\"\"4. Calculates total products ordered and percentage using lambda and filter().\"\"\"\n",
+    "    total_products_ordered = len(customer_orders)\n",
+    "    \n",
+    "    # Lowercase product list for exact matching\n",
+    "    products_lower = [p.lower() for p in products]\n",
+    "    \n",
+    "    # Use lambda and filter() to keep only the orders that exist in our product catalog\n",
+    "    valid_orders_iterator = filter(lambda order: order.lower() in products_lower, customer_orders)\n",
+    "    \n",
+    "    # Count how many elements passed the filter criteria\n",
+    "    valid_orders_count = len(list(valid_orders_iterator))\n",
+    "    \n",
+    "    if len(products) > 0:\n",
+    "        percentage_ordered = (valid_orders_count / len(products)) * 100\n",
+    "    else:\n",
+    "        percentage_ordered = 0.0\n",
+    "        \n",
+    "    return total_products_ordered, percentage_ordered\n",
+    "\n",
+    "\n",
+    "def print_order_statistics(order_statistics):\n",
+    "    \"\"\"5. Prints the calculated order statistics.\"\"\"\n",
+    "    total, percentage = order_statistics\n",
+    "    print(\"\\n--- Order Statistics ---\")\n",
+    "    print(f\"Total products ordered: {total}\")\n",
+    "    print(f\"Percentage of unique products ordered: {percentage:.2f}%\")\n",
+    "\n",
+    "\n",
+    "def print_updated_inventory(inventory):\n",
+    "    \"\"\"6. Prints the final updated inventory.\"\"\"\n",
+    "    print(\"\\n--- Updated Inventory ---\")\n",
+    "    for product, quantity in inventory.items():\n",
+    "        print(f\"{product}: {quantity}\")\n",
+    "\n",
+    "\n",
+    "# 7. Call the functions in the appropriate sequence to execute the program\n",
+    "if __name__ == \"__main__\":\n",
+    "    products = [\"T-Shirt\", \"Hoodie\", \"Cap\", \"Socks\"]\n",
+    "    \n",
+    "    inventory = initialize_inventory(products)\n",
+    "    customer_orders = get_customer_orders()\n",
+    "    update_inventory(customer_orders, inventory)\n",
+    "    \n",
+    "    # This step now executes your new lambda-filter pipeline internally\n",
+    "    order_statistics = calculate_order_statistics(customer_orders, products)\n",
+    "    \n",
+    "    print_order_statistics(order_statistics)\n",
+    "    print_updated_inventory(inventory)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "00aecdcd",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -61,7 +207,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,