diff --git a/excel_processor.py b/excel_processor.py
index 474f48e..d351916 100644
--- a/excel_processor.py
+++ b/excel_processor.py
@@ -64,7 +64,8 @@ class ExcelProcessor:
     def read_excel(self, file_path):
         """Excel 파일 읽기"""
         try:
-            self.df_original = pd.read_excel(file_path)
+            # 제품코드를 문자열로 읽기 위한 dtype 설정
+            self.df_original = pd.read_excel(file_path, dtype={'제품코드': str})
             self.format_type = self.detect_format(self.df_original)
             return True
         except Exception as e:
@@ -82,6 +83,12 @@ class ExcelProcessor:
             if old_col in df.columns:
                 df_mapped[new_col] = df[old_col]
 
+        # 보험코드 9자리 패딩 처리
+        if 'insurance_code' in df_mapped.columns:
+            df_mapped['insurance_code'] = df_mapped['insurance_code'].apply(
+                lambda x: str(x).zfill(9) if pd.notna(x) and str(x).isdigit() else str(x) if pd.notna(x) else None
+            )
+
         # 업체명 추가 (기본값)
         df_mapped['supplier_name'] = '한의사랑'
 
@@ -112,6 +119,12 @@ class ExcelProcessor:
             if old_col in df.columns:
                 df_mapped[new_col] = df[old_col]
 
+        # 보험코드 9자리 패딩 처리
+        if 'insurance_code' in df_mapped.columns:
+            df_mapped['insurance_code'] = df_mapped['insurance_code'].apply(
+                lambda x: str(x).zfill(9) if pd.notna(x) and str(x).isdigit() else str(x) if pd.notna(x) else None
+            )
+
         # 날짜 처리 (YYYYMMDD 형식)
         if 'receipt_date' in df_mapped.columns:
             df_mapped['receipt_date'] = df_mapped['receipt_date'].astype(str)