diff --git a/etl/customers/immo/pilot/asset_list_2.py b/etl/customers/immo/pilot/asset_list_2.py
new file mode 100644
index 00000000..f722a490
--- /dev/null
+++ b/etl/customers/immo/pilot/asset_list_2.py
@@ -0,0 +1,126 @@
+import pandas as pd
+from utils.s3 import read_excel_from_s3
+from utils.s3 import save_csv_to_s3
+
+USER_ID = 8
+PORTFOLIO_ID = 72
+
+# For
+patches = [
+    {
+        'address': '116 Parkes Hall Road',
+        'postcode': 'DY1 3RJ',
+        'walls-description': 'Cavity wall, filled cavity',
+        'walls-energy-eff': 'Average',
+        'roof-description': 'Pitched, 270 mm loft insulation',
+        'roof-energy-eff': 'Good',
+        'windows-description': 'Fully double glazed',
+        'windows-energy-eff': 'Good',
+        'mainheat-description': 'Boiler and radiators, mains gas',
+        'mainheat-energy-eff': 'Good',
+        'mainheatcont-description': 'Programmer, room thermostat and TRVs',
+        'mainheatc-energy-eff': 'Good',
+        'lighting-description': 'Low energy lighting in 27% of fixed outlets',
+        'lighting-energy-eff': 'Good',
+        'floor-description': 'Solid, no insulation (assumed)',
+        'secondheat-description': 'None',
+        'current-energy-efficiency': '73',
+        'current-energy-rating': 'C',
+        'energy-consumption-current': '184',
+        'co2-emissions-current': '2.4',
+        'potential-energy-efficiency': '88',
+        'total-floor-area': '73',
+        'construction-age-band': 'England and Wales: 1930-1949',
+        'property-type': 'House',
+        'built-form': 'Mid-Terrace',
+    }
+]
+
+# This is information that is found as a result of the non-invasives, that mean that certain measures
+# have been installed already. To reflect this in the front end, it is included in the recommendation, however
+# the cost is removed and instead, a message is presented saying that the measure is already installed.
+already_installed = []
+
+non_invasive_recommendations = []
+
+
+def app():
+    raw_asset_list = read_excel_from_s3(
+        bucket_name="retrofit-datalake-dev",
+        file_key="customers/Immo/Dudley Asset List - Hestia - pilot2.xlsx",
+        header_row=0
+    )
+
+    raw_asset_list = raw_asset_list[raw_asset_list["in_pilot"]].copy()
+
+    # Extract address and postcode
+    raw_asset_list["address"] = raw_asset_list["Full Address"].str.split(",").str[0]
+    raw_asset_list["postcode"] = raw_asset_list["Full Address"].str.split(",").str[-1].str.strip()
+
+    # We're provided with number of bathrooms and number of bedrooms.
+    asset_list = raw_asset_list.rename(
+        columns={
+            "No. of Beds": "n_bedrooms",
+            "No. of WC's": "n_bathrooms"
+        }
+    )
+
+    # Store the asset list in s3
+    filename = f"{USER_ID}/{PORTFOLIO_ID}/pilot.csv"
+    save_csv_to_s3(
+        dataframe=asset_list,
+        bucket_name="retrofit-plan-inputs-dev",
+        file_name=filename
+    )
+
+    # Store overrides in s3
+    already_installed_filename = f"{USER_ID}/{PORTFOLIO_ID}/already_installed.json"
+    save_csv_to_s3(
+        dataframe=pd.DataFrame(already_installed),
+        bucket_name="retrofit-plan-inputs-dev",
+        file_name=already_installed_filename
+    )
+
+    # Store patches in s3
+    patches_filename = f"{USER_ID}/{PORTFOLIO_ID}/patches.json"
+    save_csv_to_s3(
+        dataframe=pd.DataFrame(patches),
+        bucket_name="retrofit-plan-inputs-dev",
+        file_name=patches_filename
+    )
+
+    # Store non-invasive recommendations in S3
+    non_invasive_recommendations_filename = f"{USER_ID}/{PORTFOLIO_ID}/non_invasive_recommendations.json"
+    save_csv_to_s3(
+        dataframe=pd.DataFrame(non_invasive_recommendations),
+        bucket_name="retrofit-plan-inputs-dev",
+        file_name=non_invasive_recommendations_filename
+    )
+
+    # EPC C portoflio
+    body = {
+        "portfolio_id": str(PORTFOLIO_ID),
+        "housing_type": "Private",
+        "goal": "Increase EPC",
+        "goal_value": "C",
+        "trigger_file_path": filename,
+        "already_installed_file_path": already_installed_filename,
+        "patches_file_path": patches_filename,
+        "non_invasive_recommendations_file_path": non_invasive_recommendations_filename,
+        "budget": None,
+    }
+    print(body)
+
+    # EPC B portoflio
+    body = {
+        "portfolio_id": str(PORTFOLIO_ID + 1),
+        "housing_type": "Private",
+        "goal": "Increase EPC",
+        "goal_value": "B",
+        "trigger_file_path": filename,
+        "already_installed_file_path": already_installed_filename,
+        "patches_file_path": patches_filename,
+        "non_invasive_recommendations_file_path": non_invasive_recommendations_filename,
+        "budget": None,
+    }
+    print(body)