diff --git a/backend/app/db/connection.py b/backend/app/db/connection.py
index 976e57a7..28f06047 100644
--- a/backend/app/db/connection.py
+++ b/backend/app/db/connection.py
@@ -11,4 +11,4 @@ db_string = connection_string.format(
     dbname=get_settings().DB_NAME,
 )
 
-db_engine = create_engine(db_string)
+db_engine = create_engine(db_string, pool_size=20, max_overflow=5)
diff --git a/backend/app/plan/router.py b/backend/app/plan/router.py
index 17a5fc88..a8ad04a7 100644
--- a/backend/app/plan/router.py
+++ b/backend/app/plan/router.py
@@ -196,21 +196,17 @@ async def trigger_plan(body: PlanTriggerRequest):
         epc_client = EpcClient(auth_token=get_settings().EPC_AUTH_TOKEN)
 
         plan_input = read_csv_from_s3(bucket_name=bucket_name, filepath=body.trigger_file_path)
-
         input_properties = []
         for config in plan_input:
             # We validate each record in the file. If the record is NOT valid, we need to handle this accordingly
             # TODO: implment validation
-
             # Create a record in db
             property_id, is_new = create_property(
                 session, portfolio_id=body.portfolio_id, address=config['address'], postcode=config['postcode']
             )
-
             # if a new record was not created, we don't produduce recommendations
             if not is_new:
                 continue
-
             # TODO: Need to add heat demand target
             create_property_targets(
                 session,
@@ -403,7 +399,7 @@ async def trigger_plan(body: PlanTriggerRequest):
             read_csv_from_s3(bucket_name=get_settings().PREDICTIONS_BUCKET, filepath=response["storage_filepath"])
         )
 
-        predictions["RDSAP_CHANGE"] = predictions["RDSAP_CHANGE"].astype(float).round(0)
+        predictions["RDSAP_CHANGE"] = predictions["RDSAP_CHANGE"].astype(float).round(1)
         predictions[['property_id', 'recommendation_id']] = predictions['id'].str.split('+', expand=True)
 
         # Insert the predictions into the recommendations and run the optimiser
@@ -419,7 +415,7 @@ async def trigger_plan(body: PlanTriggerRequest):
                         rec["recommendation_id"]
                     )]["RDSAP_CHANGE"].values[0]
 
-                    if not rec["sap_points"]:
+                    if rec["sap_points"] is None:
                         raise ValueError("Sap points missing")
 
             input_measures = prepare_input_measures(recommendations[property_id], body.goal)
diff --git a/run_lambda_local.sh b/run_lambda_local.sh
index abcd5633..8aee4e1a 100755
--- a/run_lambda_local.sh
+++ b/run_lambda_local.sh
@@ -20,7 +20,7 @@ fi
 
 # Step 2: Build the Docker image
 echo "Building Docker image..."
-docker build -t $IMAGE_NAME:$TAG -f backend/docker/lambda.Dockerfile .
+docker build --platform linux/amd64 -t $IMAGE_NAME:$TAG -f backend/docker/lambda.Dockerfile .
 
 # Step 3: Run the Docker image with the emulator, .env file, and AWS credentials
 echo "Starting the Docker container..."