diff --git a/TM1py/Utils/Utils.py b/TM1py/Utils/Utils.py
index 8d6aae85..47fa7177 100644
--- a/TM1py/Utils/Utils.py
+++ b/TM1py/Utils/Utils.py
@@ -909,6 +909,8 @@ def build_cellset_from_pandas_dataframe(
 
 
 def aggregate_duplicate_intersections(df, dimension_headers, value_header):
+    for col in dimension_headers:
+        df[col] = df[col].str.lower().str.replace(' ', '')
     return df.groupby([*dimension_headers])[value_header].sum().reset_index()
 
 
diff --git a/Tests/CellService_test.py b/Tests/CellService_test.py
index d12479d8..524b1cf1 100644
--- a/Tests/CellService_test.py
+++ b/Tests/CellService_test.py
@@ -1188,6 +1188,26 @@ def test_write_dataframe_duplicate_numeric_entries(self):
 
         self.assertEqual([6], values)
 
+    @skip_if_no_pandas
+    def test_write_dataframe_duplicate_case_and_space_insensitive(self):
+        df = pd.DataFrame({
+            self.dimension_names[0]: ["element 1", "Element1", "ELEMENT  1"],
+            self.dimension_names[1]: ["element 1", "element 1", "element 1"],
+            self.dimension_names[2]: ["element 1", "element 1", "element 1"],
+            "Value": [1.0, 2.0, 3.0]})
+        self.tm1.cells.write_dataframe(self.cube_name, df, use_blob=True)
+
+        query = MdxBuilder.from_cube(self.cube_name)
+        query = query.add_hierarchy_set_to_column_axis(
+            MdxHierarchySet.member(Member.of(self.dimension_names[0], "element 1")))
+        query = query.add_hierarchy_set_to_row_axis(MdxHierarchySet.members([
+            Member.of(self.dimension_names[1], "element 1")]))
+
+        query = query.add_member_to_where(Member.of(self.dimension_names[2], "element 1"))
+        values = self.tm1.cells.execute_mdx_values(query.to_mdx())
+
+        self.assertEqual([6], values)
+
     @skip_if_no_pandas
     def test_write_dataframe_duplicate_numeric_and_string_entries(self):
         df = pd.DataFrame({