Between Waste and Stockouts: The Core Challenge Facing the F&B Industry
The F&B industry faces structural forecasting challenges driven by short shelf lives, complex SKU portfolios, and constantly shifting consumer demand. This uncertainty increases the risks of both overproduction, leading to waste, and overly conservative production, resulting in stockouts and lost sales opportunities.
Case
Deepflow: AI Built for the Complexities of F&B Operations
From raw material procurement and inventory management to S&OP decision-making, Deepflow connects fragmented data across the value chain to optimize complex F&B operations.
Forecasting Price Volatility in Grains, Soybeans, Crude Oil, and More
Optimize raw material procurement by proactively managing volatility
Analyze complex market drivers including global markets, exchange rates, and climate conditions
Simulate profitability based on different raw material purchasing timing scenarios
Precise 6–12 Month Sales Forecasting by SKU
Learn from multiple demand drivers including seasonality, promotions, and weather conditions
Reflect characteristics across online and offline distribution channels as well as regional demand patterns
Maximize forecasting accuracy through analysis of consumer behavior patterns
Inventory Optimization to Reduce Shelf-Life Risks
Monitor SKUs projected to face overstock or stockout risks
Reduce waste losses by preventing overproduction
Prevent lost sales opportunities caused by overly conservative production planning
S&OP Alignment Support Beyond Spreadsheets
Integrate sales and production planning across SCM, sales, and marketing teams
Enable faster decision-making through AI-powered forecasting data
Visualize end-to-end data flows through a variety of BI dashboards
변동성을 통제하는 원재료 구매 최적화
곡물·대두·원유 등 가격 변동 예측
글로벌 시장·환율·기후 등 복잡한 영향도 분석
원자재 구매 시점별 수익성 시뮬레이션
변동성을 통제하는 원재료 구매 최적화
환율, 기후, 글로벌 거시 지표를 분석한 AI가 주요 식품 원자재 가격 변동 시점을 선제적으로 탐지
곡물·대두·원유 등 가격 변동 예측
글로벌 시장·환율·기후 등 복잡한 영향도 분석
원자재 구매 시점별 수익성 시뮬레이션
변동성을 통제하는 원재료 구매 최적화
환율, 기후, 글로벌 거시 지표를 분석한 AI가 주요 식품 원자재 가격 변동 시점을 선제적으로 탐지
곡물·대두·원유 등 가격 변동 예측
글로벌 시장·환율·기후 등 복잡한 영향도 분석
원자재 구매 시점별 수익성 시뮬레이션
변동성을 통제하는 원재료 구매 최적화
환율, 기후, 글로벌 거시 지표를 분석한 AI가 주요 식품 원자재 가격 변동 시점을 선제적으로 탐지
Deepflow provides forecasting AI models optimized for the unique complexities of the F&B industry, including short shelf lives, complex promotions, and diverse sales channels.
In environments where sales channels continue to diversify and SKU counts rapidly increase, Deepflow integrates channel-specific data from distribution platforms such as Coupang, E-Mart, Homeplus, and brand-owned online stores, along with promotion impact data, to improve forecasting accuracy by an average of more than 25% compared to traditional manual processes.
Following the adoption of Deepflow, leading Korean food company I reduced inventory risk by approximately KRW 10 billion across 70 products over a six-month period, while improving S&OP meeting efficiency by 55%.Start with a free PoC today and discover the potential of AI-driven forecasting.
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