diff --git a/lab-python-flow-control.ipynb b/lab-python-flow-control.ipynb
index f4c7391..22ea3dc 100644
--- a/lab-python-flow-control.ipynb
+++ b/lab-python-flow-control.ipynb
@@ -37,11 +37,77 @@
     "\n",
     "3. Instead of updating the inventory by subtracting 1 from the quantity of each product, only do it for  the products that were ordered (those in \"customer_orders\")."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "4b8a8be8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Your orders: {'mug', 'book', 'hat'}\n",
+      "Total inventory {'t-shirt': 200, 'mug': 20, 'hat': 330, 'book': 1000, 'keychain': 33}\n",
+      "{'mug', 'book', 'hat'}\n",
+      "Total orders 3\n",
+      "Percetage Ordered 0.18951358180669614 %\n",
+      "Order Summary (3, 0.18951358180669614)\n",
+      "Remained inventory {'t-shirt': 200, 'mug': 19, 'hat': 329, 'book': 999, 'keychain': 33}\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]   # Define a list of product names\n",
+    "inventory = {}                                             # Create an empty dictionary to store product quantities\n",
+    "\n",
+    "for product in products:                                   # Loop through each product name in the list\n",
+    "    qty = int(input(f\"Enter {product} quantity: \"))        # Ask the user to enter a quantity for the current product.\n",
+    "                                                           # f-string → {product} is replaced with the variable's value.\n",
+    "                                                           # Example: if product = \"mug\", text shown is \"Enter mug quantity: \"\n",
+    "    inventory[product] = qty                               # Save the quantity in the dictionary with product name as the key\n",
+    "                                                           # Example: if product = \"mug\" and qty = 5 → inventory[\"mug\"] = 5\n",
+    "\n",
+    "\n",
+    "customer_orders = set()   # Create an empty set to store customer orders (no duplicates allowed)\n",
+    "\n",
+    "while True:   # Infinite loop, will stop only when we use \"break\"\n",
+    "    product = input(\"Enter one of these: t-shirt, mug, hat, book, keychain: \")   # Ask the user for a product\n",
+    "    customer_orders.add(product)   # Add the chosen product to the set\n",
+    "\n",
+    "    another = input(\"Do you want to add another product? (yes/no): \").lower()   # Ask if they want to continue, convert to lowercase\n",
+    "    if another == \"no\":   # If the answer is \"no\", exit the loop\n",
+    "        break\n",
+    "\n",
+    "print(\"Your orders:\", customer_orders)   # Show the final set of orders\n",
+    "\n",
+    "print(\"Total inventory\",inventory)\n",
+    "print(customer_orders) #Print the products in the `customer_orders` set.\n",
+    "\n",
+    "totalorders= len(customer_orders)\n",
+    "totalavailable=sum(inventory.values())\n",
+    "percentageordered=(totalorders/totalavailable)*100\n",
+    "order_status = (totalorders, percentageordered)#Calculate the order statistics\n",
+    "\n",
+    "\n",
+    "print(\"Total orders\",totalorders)\n",
+    "print(\"Percetage Ordered\", percentageordered, \"%\")\n",
+    "print(\"Order Summary\",order_status) # Print the order statistics \n",
+    "\n",
+    "\n",
+    "for product in customer_orders:           # Loop only over the ordered products\n",
+    "    if product in inventory and inventory[product] > 0:   # Check that the product exists and has stock\n",
+    "        inventory[product] -= 1            # Subtract 1 from that product\n",
+    "\n",
+    "\n",
+    "print(\"Remained inventory\",inventory) #10. Print the updated inventory\n"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -55,7 +121,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,