diff --git a/helpers.py b/helpers.py
index 18e50cf3..2189695e 100644
--- a/helpers.py
+++ b/helpers.py
@@ -894,6 +894,7 @@ def summarize_batch_openai(tasks_data):
 # 9. OPENAI API WRAPPER (BRANCH EVALUATION)
 # ==============================================================================
 
+@retry_on_failure
 @retry_on_failure
 def evaluate_branche_chatgpt(crm_branche, beschreibung, wiki_branche, wiki_kategorien, website_summary):
     """
@@ -904,10 +905,10 @@ def evaluate_branche_chatgpt(crm_branche, beschreibung, wiki_branche, wiki_kateg
 
     from config import TARGET_SCHEMA_STRING, FOCUS_BRANCHES_PROMPT_PART, ALLOWED_TARGET_BRANCHES
 
-    # NEU: Lazy Loading des Branchenschemas
+    # Lazy Loading des Branchenschemas
     if not ALLOWED_TARGET_BRANCHES:
         logger.warning("Branchenschema nicht geladen. Versuche es jetzt zu laden...")
-        if not initialize_target_schema(): # <<< HIER GEÄNDERT
+        if not initialize_target_schema():
             logger.critical("FEHLER in evaluate_branche_chatgpt: Ziel-Branchenschema konnte auch bei Bedarf nicht geladen werden. Breche Evaluation ab.")
             return {
                 "branch": "FEHLER - SCHEMA FEHLT",
@@ -983,7 +984,7 @@ def evaluate_branche_chatgpt(crm_branche, beschreibung, wiki_branche, wiki_kateg
     parsed_branch = False
     parsed_confidence = False
 
-for line in lines:
+    for line in lines:
         line_stripped = line.strip()
         line_lower = line_stripped.lower() # WICHTIG: Variable wieder einführen
 
@@ -1008,13 +1009,13 @@ for line in lines:
             if result["justification"]: result["justification"] += " " + justification_text
             else: result["justification"] = justification_text
 
-        if not parsed_branch or not suggested_branch or suggested_branch.lower() in ["k.a.", "n/a"]:
-            logger.error(f"Fehler in evaluate_branche_chatgpt: Konnte 'Branche:' nicht oder nur leer/k.A. aus Antwort parsen: {chat_response[:500]}...")
-            crm_short_branch_for_fallback = "k.A."
-            if crm_branche and isinstance(crm_branche, str) and crm_branche.strip().lower() != "k.a.":
-                crm_short_branch_for_fallback = crm_branche.strip()
+    if not parsed_branch or not suggested_branch or suggested_branch.lower() in ["k.a.", "n/a"]:
+         logger.error(f"Fehler in evaluate_branche_chatgpt: Konnte 'Branche:' nicht oder nur leer/k.A. aus Antwort parsen: {chat_response[:500]}...")
+         crm_short_branch_for_fallback = "k.A."
+         if crm_branche and isinstance(crm_branche, str) and crm_branche.strip().lower() != "k.a.":
+            crm_short_branch_for_fallback = crm_branche.strip()
 
-        return {
+         return {
              "branch": crm_short_branch_for_fallback if crm_short_branch_for_fallback.lower() != "k.a." else "FEHLER PARSING",
              "confidence": result.get("confidence", "N/A"),
              "consistency": "error_parsing",