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판매 예측 최적화

{:__('collect %s',판매 예측 최적화)}

과거 데이터를 사용하여 판매 예측 모델을 최적화하여 비즈니스 의사 결정의 정확성을 향상시킵니다.

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Analyze the past two years of monthly sales records, seasonal promotional calendars, and macroeconomic indicators to identify key variables affecting product sales volume, then construct a weighted forecasting model to adjust next quarter's sales expectations, ensuring the results can be directly applied to inventory procurement planning.

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지난 2개월간의 월별 판매 기록, 계절별 프로모션 캘린더 및 거시 경제 지표를 분석하여 제품 판매량에 영향을 미치는 주요 변수를 식별하고, 다음 분기의 판매 기대치를 조정하기 위해 가중 예측 모델을 구축하십시오. 결과는 재고 조달 계획에 직접 적용 가능해야 합니다.

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