diff --git a/erpnext/manufacturing/report/exponential_smoothing_forecasting/exponential_smoothing_forecasting.py b/erpnext/manufacturing/report/exponential_smoothing_forecasting/exponential_smoothing_forecasting.py
index 1b49df6..cac8067 100644
--- a/erpnext/manufacturing/report/exponential_smoothing_forecasting/exponential_smoothing_forecasting.py
+++ b/erpnext/manufacturing/report/exponential_smoothing_forecasting/exponential_smoothing_forecasting.py
@@ -21,8 +21,6 @@
 				if value.get(period.key) and not forecast_data:
 					value[forecast_key] = flt(value.get("avg", 0)) or flt(value.get(period.key))
 
-					# will be use to forecaset next period
-					forecast_data.append([value.get(period.key), value.get(forecast_key)])
 				elif forecast_data:
 					previous_period_data = forecast_data[-1]
 					value[forecast_key] = (previous_period_data[1] +
@@ -31,6 +29,10 @@
 						)
 					)
 
+				if value.get(forecast_key):
+					# will be use to forecaset next period
+					forecast_data.append([value.get(period.key), value.get(forecast_key)])
+
 class ForecastingReport(ExponentialSmoothingForecast):
 	def __init__(self, filters=None):
 		self.filters = frappe._dict(filters or {})
@@ -78,7 +80,9 @@
 			list_of_period_value = [value.get(p.key, 0) for p in self.period_list]
 
 			if list_of_period_value:
-				value["avg"] = sum(list_of_period_value) / len(list_of_period_value)
+				total_qty = [1 for d in list_of_period_value if d]
+				if total_qty:
+					value["avg"] = flt(sum(list_of_period_value)) / flt(sum(total_qty))
 
 	def get_data_for_forecast(self):
 		cond = ""
@@ -152,15 +156,19 @@
 			"width": 130
 		}]
 
-		width = 150 if self.filters.periodicity in ['Yearly', "Half-Yearly", "Quarterly"] else 100
+		width = 180 if self.filters.periodicity in ['Yearly', "Half-Yearly", "Quarterly"] else 100
 		for period in self.period_list:
 			if (self.filters.periodicity in ['Yearly', "Half-Yearly", "Quarterly"]
 				or period.from_date >= getdate(self.filters.from_date)):
 
-				forecast_key = 'forecast_' + period.key
+				forecast_key = period.key
+				label = _(period.label)
+				if period.from_date >= getdate(self.filters.from_date):
+					forecast_key = 'forecast_' + period.key
+					label = _(period.label) + " " + _("(Forecast)")
 
 				columns.append({
-					"label": _(period.label),
+					"label": label,
 					"fieldname": forecast_key,
 					"fieldtype": self.fieldtype,
 					"width": width,