diff --git a/model-optimizer/mo/back/offline_transformations.py b/model-optimizer/mo/back/offline_transformations.py
index 1df5f6cb7a0..e97b9826872 100644
--- a/model-optimizer/mo/back/offline_transformations.py
+++ b/model-optimizer/mo/back/offline_transformations.py
@@ -17,16 +17,9 @@ def get_available_transformations():
         return {}
 
 
-def apply_offline_transformations(input_model: str, framework: str, transforms: list):
-    # This variable is only needed by GenerateMappingFile transformation
-    # to produce correct mapping
-    extract_names = framework in ['tf', 'mxnet', 'kaldi']
-
-    from openvino.inference_engine import read_network  # pylint: disable=import-error,no-name-in-module
-    from openvino.offline_transformations import ApplyMOCTransformations, GenerateMappingFile  # pylint: disable=import-error,no-name-in-module
-
-    net = read_network(input_model + "_tmp.xml", input_model + "_tmp.bin")
-
+# net should be openvino.inference_engine.IENetwork type, but IE Engine is still optional dependency
+def apply_moc_transformations(net: object, transforms: list):
+    from openvino.offline_transformations import ApplyMOCTransformations  # pylint: disable=import-error,no-name-in-module
     available_transformations = get_available_transformations()
 
     for name, args in transforms:
@@ -36,6 +29,18 @@ def apply_offline_transformations(input_model: str, framework: str, transforms:
         available_transformations[name](net, **args)
 
     ApplyMOCTransformations(net, False)
+
+
+def apply_offline_transformations(input_model: str, framework: str, transforms: list):
+    # This variable is only needed by GenerateMappingFile transformation
+    # to produce correct mapping
+    extract_names = framework in ['tf', 'mxnet', 'kaldi']
+
+    from openvino.inference_engine import read_network  # pylint: disable=import-error,no-name-in-module
+    from openvino.offline_transformations import GenerateMappingFile  # pylint: disable=import-error,no-name-in-module
+
+    net = read_network(input_model + "_tmp.xml", input_model + "_tmp.bin")
+    apply_moc_transformations(net, transforms)
     net.serialize(input_model + ".xml", input_model + ".bin")
     path_to_mapping = input_model + ".mapping"
     GenerateMappingFile(net, path_to_mapping.encode('utf-8'), extract_names)
diff --git a/model-optimizer/mo/moc_frontend/serialize.py b/model-optimizer/mo/moc_frontend/serialize.py
index 86433c6e36d..dd2533c6702 100644
--- a/model-optimizer/mo/moc_frontend/serialize.py
+++ b/model-optimizer/mo/moc_frontend/serialize.py
@@ -5,7 +5,7 @@ import argparse
 import os
 from mo.pipeline.common import get_ir_version
 from mo.back.ie_ir_ver_2.emitter import append_ir_info
-from mo.utils.cli_parser import get_meta_info
+from mo.utils.cli_parser import get_meta_info, parse_transform
 
 from ngraph import Function         # pylint: disable=no-name-in-module,import-error
 from ngraph import function_to_cnn  # pylint: disable=no-name-in-module,import-error
@@ -15,6 +15,8 @@ def moc_emit_ir(ngraph_function: Function, argv: argparse.Namespace):
     output_dir = argv.output_dir if argv.output_dir != '.' else os.getcwd()
 
     network = function_to_cnn(ngraph_function)
+    from mo.back.offline_transformations import apply_moc_transformations
+    apply_moc_transformations(network, parse_transform(argv.transform))
 
     orig_model_name = os.path.normpath(os.path.join(output_dir, argv.model_name))
     network.serialize(orig_model_name + ".xml", orig_model_name + ".bin")