diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..1eb90e20 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,6 +50,81 @@
     "\n",
     "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter the quantity of t-shirt:  1\n",
+      "Enter the quantity of mug:  2\n",
+      "Enter the quantity of hat:  3\n",
+      "Enter the quantity of book:  4\n",
+      "Enter the quantity of keychain:  5\n",
+      "Enter one of these products : ['t-shirt', 'mug', 'hat', 'book', 'keychain'] mug\n",
+      "Enter one of these products : ['t-shirt', 'mug', 'hat', 'book', 'keychain'] hat\n",
+      "Enter one of these products : ['t-shirt', 'mug', 'hat', 'book', 'keychain'] book\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "This is the customer order : {'mug', 'hat', 'book'}\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 3.\n",
+      "Percentage of Products Ordered: 20.00%. \n",
+      "This is the inventory after customer order :\n",
+      "t-shirt : 1\n",
+      "mug : 1\n",
+      "hat : 2\n",
+      "book : 3\n",
+      "keychain : 5\n"
+     ]
+    }
+   ],
+   "source": [
+    "list_products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory = {}\n",
+    "customer_orders = set()\n",
+    "\n",
+    "for product in list_products :\n",
+    "    quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
+    "    inventory[product] = quantity\n",
+    "    \n",
+    "for order in range (3):\n",
+    "    customer_orders.add(input(f\"Enter one of these products : {list_products}\"))\n",
+    "    \n",
+    "total_prod_ordered = len(customer_orders)\n",
+    "total_inventory = sum(inventory.values()) \n",
+    "percentage_products_ordered = (total_prod_ordered / total_inventory)*100\n",
+    "order_status = (total_prod_ordered, percentage_products_ordered) \n",
+    "\n",
+    "for product in customer_orders :\n",
+    "    if product in inventory and inventory[product] > 0:\n",
+    "        inventory[product] -= 1\n",
+    "                                     \n",
+    "\n",
+    "print(f\"This is the customer order : {customer_orders}\")\n",
+    "print(\"Order Statistics:\")\n",
+    "print(f\"Total Products Ordered: {order_status[0]}.\")\n",
+    "print(f\"Percentage of Products Ordered: {order_status[1]:.2f}%. \")\n",
+    "\n",
+    "print(f\"This is the inventory after customer order :\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print (f\"{product} : {quantity}\") \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -68,7 +143,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,