CASE STUDY

Predict Customer Demand to Minimize Wastage and Enhance Supply Chain Efficiency

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Industry

Manufacturing

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Ecosystem

AI/ML-Driven Supply Chain Systems

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Metrics

Accuracy of Demand Forecast
Reduction in Wastage

Business Case

A food delivery company that operates across multiple cities faces challenges in managing stock across its fulfillment centers. With a growing customer base, accurately forecasting demand for upcoming weeks and months is crucial to optimizing raw material procurement, avoiding shortages, and minimizing wastage. The company seeks a robust solution that leverages both internal data and external factors, such as market trends and weather, to improve the efficiency of their supply chain.

Solution Provided

UCBOS introduced a Zero Code AI/ML-driven Demand Forecasting system that uses both Internal data (such as past sales, marketing forecasts, and budgets) and External demand signals (like weather and market trends). The system is designed to handle Anomalies, Demand shocks, and Regime changes that can impact short-term and long-term planning.

With the Zero Code platform, the company can easily consolidate data from multiple sources without the need for extensive IT involvement. It automatically detects exceptions in real time and triggers exception notifications, allowing quick responses to supply chain disruptions. This empowers the company to optimize inventory across all fulfillment centers, ensuring smooth operations while maintaining flexibility.

Outcome

With the UCBOS AI/ML-driven solution, the food delivery company saw a significant improvement in the accuracy of their demand forecasts. The system helped in identifying regime changes and external events (e.g., weather, holidays) that influenced order patterns. As a result, the company was able to minimize raw material wastage, ensure stock availability, and maintain high levels of customer satisfaction.

The integration of these demand signals with the procurement and supply chain systems streamlined operations and allowed the company to proactively respond to demand fluctuations.

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