You join a demand planning team and one of your responsibilities is the quarterly planning of a B item. The item has been forecast assuming level, trend, and seasonality using Holt-winter for many years. The underlying forecasting equation assumes that level and trend are additive and then the result is multiplicative with the seasonality. The seasonality is quarterly with Q1 being the lowest volume quarter and Q4 being the highest. The table below shows the relevant data. The far-right column x^(t-1,t) is the forecast for the current period. For example, the forecast for 2018 Q4 is 1,197. The historical smoothing constants used by your team for these parts are alpha=0.2, beta=0.1 and gamma=0.1.

Quarter	x(t)	a^(t)	b^(t)	F^(t)	x^(t-1,t)
2018 Q4	2788			0.37	1197
2019 Q1	1374			0.15	2592
2019 Q2	2737			0.30	2437
2019 Q3	2410	9141	287	0.270
2019 Q4	3556

What is the forecast for 2019 Q3?