When Quarterly Forecasts Miss the Mark
Last month, three of our clients discovered their Q1 projections were off by more than 20%. Not because the models were wrong, but because they hadn't factored in seasonal shifts specific to Taiwan's retail calendar. It's a reminder that forecasting tools are only as good as the context you feed them.
We sat down with manufacturing teams in Kaohsiung to figure out where the disconnect happened. Turns out, Lunar New Year purchasing patterns create ripple effects that standard forecasting software just doesn't catch automatically.
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