Client Overview:

A consumer goods company producing laundry and home care products facing stockouts and overstock issues due to fluctuating demand.

Objectives:

Improve inventory management and demand forecasting.

Solution:

• Developed a supply chain dashboard integrating demand forecasts, sales data, and inventory levels.
• Implemented AI-driven forecasting models to predict seasonal demand spikes.
• Automated reorder thresholds for raw materials and finished goods.

Results:

• Reduced stockouts by 30% during peak seasons.
• Cut inventory carrying costs by 25%, freeing up $1.5 million in working capital.
• Key Takeaways: Enhanced visibility into demand trends optimized inventory levels and boosted customer satisfaction.