diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb
index 44d337b..b24d3c6 100644
--- a/lab-python-functions.ipynb
+++ b/lab-python-functions.ipynb
@@ -2,7 +2,6 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e",
    "metadata": {},
    "source": [
     "# Lab | Functions"
@@ -10,10 +9,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0c581062-8967-4d93-b06e-62833222f930",
-   "metadata": {
-    "tags": []
-   },
+   "metadata": {},
    "source": [
     "## Exercise: Managing Customer Orders with Functions\n",
     "\n",
@@ -39,29 +35,163 @@
     "\n",
     "- Consider the input parameters required for each function and their return values.\n",
     "- Utilize function parameters and return values to transfer data between functions.\n",
-    "- Test your functions individually to ensure they work correctly.\n",
+    "- Test your functions individually to ensure they work correctly.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**1.** `initialize_inventory(products)` — asks for a quantity per product, returns a fresh `inventory` dict. Builds it locally and returns it, instead of relying on a global `inventory` variable."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def initialize_inventory(products):\n",
+    "    inventory = {}\n",
+    "    for product in products:\n",
+    "        quantity = int(input(f\"Enter the quantity of {product}s available: \"))\n",
+    "        inventory[product] = quantity\n",
+    "    return inventory"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**2.** `get_customer_orders()` — no parameters, same `while True` + \"add another? (yes/no)\" pattern from the flow-control lab. Returns the `customer_orders` set."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_customer_orders():\n",
+    "    customer_orders = set()\n",
+    "    while True:\n",
+    "        order = input(\"Enter the name of a product the customer wants to order: \")\n",
+    "        customer_orders.add(order)\n",
+    "\n",
+    "        another = input(\"Do you want to add another product? (yes/no): \")\n",
+    "        if another.lower().strip() != \"yes\":\n",
+    "            break\n",
+    "    return customer_orders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**3.** `update_inventory(customer_orders, inventory)` — subtracts 1 only for products that were actually ordered. Modifies the `inventory` dict it's given (no return needed, since dicts are mutable and the caller's dict is updated in place)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def update_inventory(customer_orders, inventory):\n",
+    "    for product in customer_orders:\n",
+    "        if product in inventory:\n",
+    "            inventory[product] -= 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**4.** `calculate_order_statistics(customer_orders, products)` — returns the `(total, percentage)` tuple."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    total_products_ordered = len(customer_orders)\n",
+    "    percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "    return total_products_ordered, percentage_ordered"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**5.** `print_order_statistics(order_statistics)` — takes the tuple, prints it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_order_statistics(order_statistics):\n",
+    "    print(\"Order Statistics:\")\n",
+    "    print(f\"Total Products Ordered: {order_statistics[0]}\")\n",
+    "    print(f\"Percentage of Products Ordered: {order_statistics[1]}%\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**6.** `print_updated_inventory(inventory)`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_updated_inventory(inventory):\n",
+    "    for product, quantity in inventory.items():\n",
+    "        print(f\"{product}: {quantity}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**7.** Call everything in sequence. `products` is the only thing that still lives at the top level — everything else is passed between functions as arguments/return values, no globals used inside any function body."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
     "\n",
-    "\n"
+    "inventory = initialize_inventory(products)\n",
+    "customer_orders = get_customer_orders()\n",
+    "update_inventory(customer_orders, inventory)\n",
+    "order_statistics = calculate_order_statistics(customer_orders, products)\n",
+    "print_order_statistics(order_statistics)\n",
+    "print_updated_inventory(inventory)"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
   "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
    "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.x"
   }
  },
  "nbformat": 4,