diff --git a/etl/customers/orbit/archetypes.py b/etl/customers/orbit/archetypes.py
new file mode 100644
index 00000000..2a2e0baf
--- /dev/null
+++ b/etl/customers/orbit/archetypes.py
@@ -0,0 +1,40 @@
+import pandas as pd
+
+
+def main():
+    """
+    Some rough and ready analysis to get a view of what the achetypes could be, ahead of a meeting with Wates
+    on the 28th Aug 2024
+    :return:
+    """
+
+    all_assets = pd.read_excel(
+        "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Orbit - Wates/Bexley Wave 3 Project - external - "
+        "reduced.xlsx",
+        sheet_name="Full Property List",
+        header=1
+    )
+
+    secondary_cols = ["" if pd.isnull(x) else x for x in all_assets.iloc[0, :].values]
+    new_colnames = [
+        "+".join([all_assets.columns[i], secondary_cols[i]]) if secondary_cols[i] else all_assets.columns[i]
+        for i, c in enumerate(all_assets.columns)
+    ]
+    # Drop row 0
+
+    locations = {
+        location_name: pd.read_excel(
+            "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Orbit - Wates/Bexley Wave 3 Project - external - "
+            "reduced"
+            ".xlsx",
+            sheet_name=location_name
+        ) for location_name in [
+            "Forest Road Erith",
+            "Lesney Farms",
+            "Brook Street 155 - 243",
+            "Hazel Drive",
+            "Page Crescent",
+            "Brook Salmon Roberts and Chapma",
+            "Beacon Road"
+        ]
+    }