Cybernetis AI for a Leading D2C Nutrition Brand

Challenges

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A fast-growing D2C nutrition brand, producing and distributing its own line of dietary supplements and functional foods, faced significant hurdles in demand forecasting and production planning. Relying on spreadsheets and manual expertise, the planning team struggled with:This resulted in weeks of inefficient efforts and intra-engineer variability in output documentation quality and potential for a lower quality medical device that may result in patient harm.

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• Low forecast accuracy across SKUs and product categories
• Overproduction of certain supplements while other fast-moving SKUs went out of stock
• Inefficient coordination between marketing campaigns, sales results, and ingredient procurement
• High inventory carrying costs and production delays

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With annual revenue approaching $400M and operations spanning both direct e-commerce and retail partnerships, the lack of precise, real-time forecasting created major risks for profitability and customer satisfaction.

Approach

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The company partnered with Cybernetis AI to deploy its AI Demand Forecasting and Supply Chain Optimization platform. Within 12 weeks, the team:

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• Unified historical sales, marketing campaign results, and supply data into a single model
• Configured AI forecasting models that learned seasonality, campaign impact, and consumer behavior shifts
• Built real-time dashboards for operations teams to adjust procurement and production scheduling instantly
• Applied AI clustering to segment SKUs by volatility and customer demand patterns, enabling tailored forecasting