diff --git a/0_5_Machine_Learning.py b/5_Modelling.py
similarity index 100%
rename from 0_5_Machine_Learning.py
rename to 5_Modelling.py
diff --git a/0_7_CA_segment.py b/7_Sales_Forecast.py
similarity index 98%
rename from 0_7_CA_segment.py
rename to 7_Sales_Forecast.py
index 9cb0593..fbb0bf4 100644
--- a/0_7_CA_segment.py
+++ b/7_Sales_Forecast.py
@@ -19,7 +19,7 @@ S3_ENDPOINT_URL = "https://" + os.environ["AWS_S3_ENDPOINT"]
 fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': S3_ENDPOINT_URL})
 
 # importation of functions defined
-exec(open('utils_CA_segment.py').read())
+exec(open('utils_sales_forecast.py').read())
 # from utils_CA_segment import *
 
 # define type of activity 
diff --git a/utils_CA_segment.py b/utils_sales_forecast.py
similarity index 97%
rename from utils_CA_segment.py
rename to utils_sales_forecast.py
index bab0607..f0c28db 100644
--- a/utils_CA_segment.py
+++ b/utils_sales_forecast.py
@@ -14,7 +14,7 @@ import io
 
 def load_train_test(type_of_activity):
     # BUCKET = f"projet-bdc2324-team1/Generalization/{type_of_activity}"
-    BUCKET = f"projet-bdc2324-team1/Generalization_v2/{type_of_activity}"
+    BUCKET = f"projet-bdc2324-team1/1_Temp/1_0_Modelling_Datasets/{type_of_activity}"
     File_path_train = BUCKET + "/Train_set.csv"
     File_path_test = BUCKET + "/Test_set.csv"
     
@@ -53,7 +53,7 @@ def features_target_split(dataset_train, dataset_test):
 
 def load_model(type_of_activity, model):
     # BUCKET = f"projet-bdc2324-team1/Output_model/{type_of_activity}/{model}/"
-    BUCKET = f"projet-bdc2324-team1/basique/{type_of_activity}/{model}/"
+    BUCKET = f"projet-bdc2324-team1/2_Output/2_1_Modeling_results/{type_of_activity}/{model}/"
     filename = model + '.pkl'
     file_path = BUCKET + filename
     with fs.open(file_path, mode="rb") as f:
@@ -241,7 +241,7 @@ def save_file_s3_ca(File_name, type_of_activity):
     image_buffer = io.BytesIO()
     plt.savefig(image_buffer, format='png')
     image_buffer.seek(0)
-    PATH = f"projet-bdc2324-team1/Output_expected_CA/{type_of_activity}/"
+    PATH = f"projet-bdc2324-team1/2_Output/2_2_Sales_Forecast/{type_of_activity}/"
     FILE_PATH_OUT_S3 = PATH + File_name + type_of_activity + '.png'
     with fs.open(FILE_PATH_OUT_S3, 'wb') as s3_file:
         s3_file.write(image_buffer.read())