diff --git a/pipelines/postprocess_all_locations.py b/pipelines/postprocess_all_locations.py
new file mode 100644
index 00000000..fbf922a2
--- /dev/null
+++ b/pipelines/postprocess_all_locations.py
@@ -0,0 +1,58 @@
+import argparse
+import logging
+import subprocess
+from pathlib import Path
+
+import collate_plots as cp
+from utils import get_all_forecast_dirs, parse_model_batch_dir_name
+
+
+def create_hubverse_table(model_batch_dir: Path) -> None:
+    batch_info = parse_model_batch_dir_name(model_batch_dir)
+
+    output_file_name = (
+        f"{batch_info["report_date"]}-"
+        f"{batch_info["disease"].lower()}-"
+        "hubverse-table.tsv"
+    )
+
+    output_path = Path(model_batch_dir, output_file_name)
+
+    result = subprocess.run(
+        [
+            "Rscript",
+            "pipelines/create_hubverse_table.R",
+            f"{model_batch_dir}",
+            f"{output_path}",
+        ],
+        capture_output=True,
+    )
+    if result.returncode != 0:
+        raise RuntimeError(f"generate_epiweekly: {result.stderr}")
+    return None
+
+
+def process_model_batch_dir(model_batch_dir: Path) -> None:
+    cp.process_dir(model_batch_dir)
+    create_hubverse_table(model_batch_dir)
+
+
+def main(base_forecast_dir: Path):
+    to_process = get_all_forecast_dirs(base_forecast_dir)
+    for batch_dir in to_process:
+        process_model_batch_dir(batch_dir)
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(
+        description="Postprocess forecasts across locations."
+    )
+    parser.add_argument(
+        "base_forecast_dir",
+        type=Path,
+        required=True,
+        help="Directory containing forecast subdirectories.",
+    )
+
+    args = parser.parse_args()
+    main(**vars(args))