diff --git a/model-optimizer/automation/package_BOM.txt b/model-optimizer/automation/package_BOM.txt
index dad585c2f43..79be4781543 100644
--- a/model-optimizer/automation/package_BOM.txt
+++ b/model-optimizer/automation/package_BOM.txt
@@ -433,6 +433,7 @@ extensions/front/tf/identityN_to_identity.py
 extensions/front/tf/if_ext.py
 extensions/front/tf/InterpolateTransposes.py
 extensions/front/tf/IteratorGetNext_ext.py
+extensions/front/tf/IteratorGetNextCut.py
 extensions/front/tf/log_softmax_ext.py
 extensions/front/tf/LookupTableInsert_ext.py
 extensions/front/tf/LoopCond_ext.py
diff --git a/model-optimizer/extensions/analysis/inputs.py b/model-optimizer/extensions/analysis/inputs.py
index a3fee9ffd6c..887dee66a9a 100644
--- a/model-optimizer/extensions/analysis/inputs.py
+++ b/model-optimizer/extensions/analysis/inputs.py
@@ -56,22 +56,24 @@ class InputsAnalysis(AnalyzeAction):
     def iterator_get_next_analysis(cls, graph: Graph, inputs_desc: dict):
         message = None
         op_nodes = graph.get_op_nodes(op='IteratorGetNext')
+
+        params = ''
+        for iter_get_next in op_nodes:
+            for port in iter_get_next.out_nodes().keys():
+                inputs_desc['{}:{}'.format(iter_get_next.soft_get('name', iter_get_next.id), port)] = {
+                    'shape': iter_get_next.shapes[port].tolist(),
+                    'value': None,
+                    'data_type': iter_get_next.types[port]
+                }
+                if params != '':
+                    params = params + ','
+                shape = str(iter_get_next.shapes[port].tolist()).replace(',', '')
+                params = params + '{}:{}{}'.format(iter_get_next.soft_get('name', iter_get_next.id), port, shape)
+
         if len(op_nodes):
-            params = ''
-            for iter_get_next in op_nodes:
-                for port in iter_get_next.out_nodes().keys():
-                    inputs_desc['{}:{}'.format(iter_get_next.soft_get('name', iter_get_next.id), port)] = {
-                        'shape': iter_get_next.shapes[port].tolist(),
-                        'value': None,
-                        'data_type': iter_get_next.types[port]
-                    }
-                    if params != '':
-                        params = params + ','
-                    shape = str(iter_get_next.shapes[port].tolist()).replace(',', '')
-                    params = params + '{}:{}{}'.format(iter_get_next.soft_get('name', iter_get_next.id), port, shape)
             message = 'It looks like there is IteratorGetNext as input\n' \
-                      'Run the Model Optimizer with:\n\t\t--input "{}"\n' \
-                      'And replace all negative values with positive values'.format(params)
+                      'Run the Model Optimizer without --input option \n' \
+                      'Otherwise, try to run the Model Optimizer with:\n\t\t--input "{}"\n'.format(params)
         return message
 
     def analyze(self, graph: Graph):
diff --git a/model-optimizer/extensions/front/tf/IteratorGetNextCut.py b/model-optimizer/extensions/front/tf/IteratorGetNextCut.py
new file mode 100644
index 00000000000..3cced57f658
--- /dev/null
+++ b/model-optimizer/extensions/front/tf/IteratorGetNextCut.py
@@ -0,0 +1,45 @@
+# Copyright (C) 2018-2021 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+from collections import defaultdict
+
+from mo.front.extractor import add_input_ops
+from mo.graph.graph import Graph
+from mo.middle.passes.convert_data_type import SUPPORTED_DATA_TYPES, np_data_type_to_precision
+from mo.utils.error import Error
+from mo.front.common.replacement import FrontReplacementPattern
+
+
+class IteratorGetNextCut(FrontReplacementPattern):
+    """
+    Cuts OneShotIterator -> IteratorGetNext pattern
+    in order to enable Out Of the Box (OOB) usage.
+    Pass is run only if user didn't specify any inputs names and shapes.
+    """
+    enabled = True
+    graph_condition = [lambda graph: graph.graph['cmd_params'].input is None]
+
+    def run_before(self):
+        from extensions.front.output_cut import OutputCut
+        from extensions.front.input_cut import InputCut
+        return [OutputCut, InputCut]
+
+    def run_after(self):
+        return []
+
+    def find_and_replace_pattern(self, graph: Graph):
+        iter_get_next_shapes = defaultdict(list)
+        for iter_get_next in graph.get_op_nodes(op='IteratorGetNext'):
+            iter_get_next_name = iter_get_next.soft_get('name', iter_get_next.id)
+            for port in iter_get_next.out_ports():
+                if not np_data_type_to_precision(iter_get_next.types[port]) in SUPPORTED_DATA_TYPES:
+                    raise Error("In IteratorGetNext node '{}' data type '{}' is not supported".format(
+                        iter_get_next_name, iter_get_next.types[port]))
+
+                iter_get_next_shapes[iter_get_next_name].append(dict(
+                    shape=iter_get_next.shapes[port],
+                    out=port,
+                    data_type=iter_get_next.types[port]
+                ))
+
+        add_input_ops(graph, iter_get_next_shapes, True)
diff --git a/model-optimizer/extensions/front/tf/IteratorGetNext_ext.py b/model-optimizer/extensions/front/tf/IteratorGetNext_ext.py
index e7999164714..c9318c976e5 100644
--- a/model-optimizer/extensions/front/tf/IteratorGetNext_ext.py
+++ b/model-optimizer/extensions/front/tf/IteratorGetNext_ext.py
@@ -20,5 +20,5 @@ class IteratorGetNextExtractor(FrontExtractorOp):
         result_shapes = []
         for shape_pb in shapes:
             result_shapes.append(tf_tensor_shape(shape_pb))
-        Op.update_node_stat(node, {'shapes': result_shapes, 'types': extracted_types})
+        Op.update_node_stat(node, {'shapes': result_shapes, 'types': extracted_types, 'out_ports_count': 1})
         return cls.enabled
diff --git a/model-optimizer/unit_tests/extensions/analysis/Iterator_get_next_test.py b/model-optimizer/unit_tests/extensions/analysis/Iterator_get_next_test.py
index 801873bdbb9..05946988c0b 100644
--- a/model-optimizer/unit_tests/extensions/analysis/Iterator_get_next_test.py
+++ b/model-optimizer/unit_tests/extensions/analysis/Iterator_get_next_test.py
@@ -26,8 +26,8 @@ class IteratorGetNextAnalysisTest(unittest.TestCase):
         inputs_desc = {}
         message = InputsAnalysis.iterator_get_next_analysis(graph, inputs_desc)
         ref_message = 'It looks like there is IteratorGetNext as input\n' \
-                      'Run the Model Optimizer with:\n\t\t--input "iter_get_next:0[2 2],iter_get_next:1[1 1]"\n' \
-                      'And replace all negative values with positive values'
+                      'Run the Model Optimizer without --input option \n' \
+                      'Otherwise, try to run the Model Optimizer with:\n\t\t--input "iter_get_next:0[2 2],iter_get_next:1[1 1]"\n'
         self.assertEqual(message, ref_message)
 
     def test_negative(self):
diff --git a/model-optimizer/unit_tests/extensions/front/tf/IteratorGetNextCut_test.py b/model-optimizer/unit_tests/extensions/front/tf/IteratorGetNextCut_test.py
new file mode 100644
index 00000000000..165e5189fc7
--- /dev/null
+++ b/model-optimizer/unit_tests/extensions/front/tf/IteratorGetNextCut_test.py
@@ -0,0 +1,95 @@
+# Copyright (C) 2018-2021 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import unittest
+
+import numpy as np
+
+from extensions.front.tf.IteratorGetNextCut import IteratorGetNextCut
+from mo.front.common.partial_infer.utils import shape_array
+from mo.utils.error import Error
+from mo.utils.ir_engine.compare_graphs import compare_graphs
+from unit_tests.utils.graph import build_graph_with_edge_attrs
+
+
+class IteratorGetNextAnalysisTest(unittest.TestCase):
+
+    def test_one_output(self):
+        graph = build_graph_with_edge_attrs(
+            {
+                'iter_get_next': {'kind': 'op', 'op': 'IteratorGetNext', 'shapes': shape_array([[2, 2]]),
+                                  'types': [np.int32]},
+                'sub': {'kind': 'op', 'op': 'Sub'},
+            },
+            [
+                ('iter_get_next', 'sub', {'out': 0, 'in': 0}),
+            ]
+        )
+
+        graph_ref = build_graph_with_edge_attrs(
+            {
+                'parameter_1': {'kind': 'op', 'op': 'Parameter', 'shape': shape_array([2, 2]), 'type': np.int32},
+                'sub': {'kind': 'op', 'op': 'Sub'},
+            },
+            [
+                ('parameter_1', 'sub', {'out': 0, 'in': 0}),
+            ]
+        )
+
+        IteratorGetNextCut().find_and_replace_pattern(graph)
+
+        flag, msg = compare_graphs(graph, graph_ref, last_node='sub')
+        self.assertTrue(flag, msg)
+
+    def test_two_outputs(self):
+        graph = build_graph_with_edge_attrs(
+            {
+                'iter_get_next': {'kind': 'op', 'op': 'IteratorGetNext', 'shapes': [shape_array([2, 2]),
+                                                                                    shape_array([1, 1])],
+                                  'types': [np.int32, np.float32]},
+                'sub': {'kind': 'op', 'op': 'Sub'},
+                'add': {'kind': 'op', 'op': 'Add'},
+                'concat': {'kind': 'op', 'op': 'Concat'}
+            },
+            [
+                ('iter_get_next', 'sub', {'out': 0, 'in': 0}),
+                ('iter_get_next', 'add', {'out': 1, 'in': 0}),
+                ('sub', 'concat', {'out': 0, 'in': 0}),
+                ('add', 'concat', {'out': 0, 'in': 1})
+            ]
+        )
+
+        graph_ref = build_graph_with_edge_attrs(
+            {
+                'parameter_1': {'kind': 'op', 'op': 'Parameter', 'shape': shape_array([2, 2]), 'data_type': np.int32},
+                'parameter_2': {'kind': 'op', 'op': 'Parameter', 'shape': shape_array([1, 1]), 'data_type': np.float32},
+                'sub': {'kind': 'op', 'op': 'Sub'},
+                'add': {'kind': 'op', 'op': 'Add'},
+                'concat': {'kind': 'op', 'op': 'Concat'}
+            },
+            [
+                ('parameter_1', 'sub', {'out': 0, 'in': 0}),
+                ('parameter_2', 'add', {'out': 0, 'in': 0}),
+                ('sub', 'concat', {'out': 0, 'in': 0}),
+                ('add', 'concat', {'out': 0, 'in': 1})
+            ]
+        )
+
+        IteratorGetNextCut().find_and_replace_pattern(graph)
+
+        flag, msg = compare_graphs(graph, graph_ref, last_node='concat', check_op_attrs=True)
+        self.assertTrue(flag, msg)
+
+    def test_unsupported_data_type(self):
+        graph = build_graph_with_edge_attrs(
+            {
+                'iter_get_next': {'kind': 'op', 'op': 'IteratorGetNext', 'shapes': shape_array([[2, 2]]),
+                                  'types': [None]},
+                'sub': {'kind': 'op', 'op': 'Sub'},
+            },
+            [
+                ('iter_get_next', 'sub', {'out': 0, 'in': 0}),
+            ]
+        )
+
+        self.assertRaises(Error, IteratorGetNextCut().find_and_replace_pattern, graph)