diff --git a/DIRECTORY.md b/DIRECTORY.md
index e855a6c..f63ef21 100644
--- a/DIRECTORY.md
+++ b/DIRECTORY.md
@@ -12,6 +12,7 @@
 
 - **Recursion**
   - [NthFibonacci](Recursion/NthFibonacci.js)
+  - [ProductSum](Recursion/ProductSum.js)
 
 - **Searching**
   - [BinarySearch](Searching/BinarySearch.js)
diff --git a/Recursion/ProductSum.js b/Recursion/ProductSum.js
new file mode 100644
index 0000000..dd21a57
--- /dev/null
+++ b/Recursion/ProductSum.js
@@ -0,0 +1,47 @@
+/**
+ * Calculate the product sum of a "special" array.
+ *
+ * @param {Array} array - The input "special" array to calculate the product sum for.
+ * @param {number} depthLevelMultiplier - (Optional) The depth level multiplier used to calculate the depth.
+ * @returns {number} - The product sum of the "special" array.
+ *
+ * @description
+ * A "special" array is a non-empty array that contains either integers or other "special" arrays.
+ * The product sum of a "special" array is the sum of its elements, where "special" arrays inside it
+ * are summed themselves and then multiplied by their level of depth.
+ *
+ * The depth of a "special" array is how far nested it is. For instance, the depth of [] is 1; the depth
+ * of the inner array in [[J] is 2; the depth of the innermost array in [CEll is 3.
+ *
+ * The function uses recursion to traverse the nested arrays, calculating the product sum of each nested
+ * array and multiplying it by its depth level. It then returns the product sum of the entire "special" array.
+ *
+ * @Complexity
+ * - Time Complexity: O(n), where n is the total number of elements in the "special" array.
+ * - Space Complexity: O(d), where d is the maximum depth of nesting in the "special" array.
+ */
+function productSum(array, depthLevelMultiplier = 1) {
+  // Initialize the sum to 0 for this level of the "special" array.
+  let sum = 0;
+
+  // Iterate through the elements in the input array.
+  for (let i = 0; i < array.length; i++) {
+    // If the element is not an array, add it to the sum.
+    if (!Array.isArray(array[i])) {
+      sum += array[i];
+    } else {
+      // If the element is a "special" array, calculate its depth level.
+      // The depth level is increased by 1 for each level of nesting.
+      let depthLevel = depthLevelMultiplier + 1;
+
+      // Recursively calculate the product sum of the nested "special" array.
+      // Multiply the product sum of the nested array by its depth level and add it to the sum.
+      sum += depthLevel * productSum(array[i], depthLevel);
+    }
+  }
+
+  // Return the calculated product sum for the current level.
+  return sum;
+}
+
+export { productSum };
diff --git a/Recursion/tests/ProductSum.test.js b/Recursion/tests/ProductSum.test.js
new file mode 100644
index 0000000..fac2528
--- /dev/null
+++ b/Recursion/tests/ProductSum.test.js
@@ -0,0 +1,43 @@
+import { productSum } from "../ProductSum";
+
+describe("Product Sum", () => {
+  it("should calculate product sum for a nested array", () => {
+    const array = [5, 2, [7, -1], 3, [6, [-13, 8], 4]];
+    expect(productSum(array)).toBe(12);
+  });
+
+  it("should calculate product sum for a simple array", () => {
+    const array = [1, 2, 3, 4, 5];
+    expect(productSum(array)).toBe(15);
+  });
+
+  it("should calculate product sum for a partially nested array", () => {
+    const array = [1, 2, [3], 4, 5];
+    expect(productSum(array)).toBe(18);
+  });
+
+  it("should calculate product sum for a deeply nested array", () => {
+    const array = [[1, 2], 3, [4, 5]];
+    expect(productSum(array)).toBe(27);
+  });
+
+  it("should calculate product sum for an extremely deeply nested array", () => {
+    const array = [[[[[5]]]]];
+    expect(productSum(array)).toBe(600);
+  });
+
+  it("should calculate product sum for a complex nested array", () => {
+    const array = [
+      9,
+      [2, -3, 4],
+      1,
+      [1, 1, [1, 1, 1]],
+      [[[[3, 4, 1]]], 8],
+      [1, 2, 3, 4, 5, [6, 7], -7],
+      [1, [2, 3, [4, 5]], [6, 0, [7, 0, -8]], -7],
+      [1, -3, 2, [1, -3, 2, [1, -3, 2], [1, -3, 2, [1, -3, 2]], [1, -3, 2]]],
+      -3,
+    ];
+    expect(productSum(array)).toBe(1351);
+  });
+});