diff --git a/app/excel_processing.py b/app/excel_processing.py
index 67cfb4a..bdee4ef 100644
--- a/app/excel_processing.py
+++ b/app/excel_processing.py
@@ -2589,7 +2589,10 @@ def all_products_transport_excel(request):
         filters['product'] = product_type
 
     if destination_province and destination_province != 'undefined':
-        filters['destination_province'] = destination_province
+        if destination_province == 'مرکزی':
+            filters['destination_province'] = 'مركزي'
+        else:
+            filters['destination_province'] = destination_province
 
     if date1 and date2 and date1 != 'undefined' and date2 != 'undefined':
         try:
diff --git a/app/views.py b/app/views.py
index c875ead..d050534 100644
--- a/app/views.py
+++ b/app/views.py
@@ -4775,10 +4775,11 @@ class AllProductsTransportDashboardView(APIView):
                 bars = queryset.filter(jihadi_origin__in=kill_house_codes)
 
                 if destination_province and destination_province != 'undefined':
-                    bars = bars.filter(destination_province=destination_province)
                     if destination_province=='مرکزی':
                         bars = bars.filter(destination_province='مركزي')
 
+                    else:
+                        bars = bars.filter(destination_province=destination_province)
 
                 aggregation = bars.aggregate(
                     total=Sum('quantity'),
@@ -4839,10 +4840,12 @@ class AllProductsTransportDashboardView(APIView):
                 ).order_by('-modify_date')
 
                 if destination_province and destination_province != 'undefined':
-                    bars = bars.filter(destination_province=destination_province)
-                    if destination_province=='مرکزی':
+
+                    if destination_province == 'مرکزی':
                         bars = bars.filter(destination_province='مركزي')
 
+                    else:
+                        bars = bars.filter(destination_province=destination_province)
                 aggregation = bars.aggregate(
                     total=Sum('quantity'),
                     input_total=Sum('quantity', filter=Q(out=False)),