AI-powered demand forecasting: How Visionet helped a leading retailer cut costs & boost agility

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Client 

A leading home goods store chain was struggling with reduced ROI due to excess inventory caused by inaccurate demand forecasting. These inefficiencies in their supply chain were impacting profitability and operational agility, prompting the need for a next-gen forecasting solution. 

Challenges 

The client faced significant issues with inventory management, including excess stock, inaccurate forecasting, and difficulties in right-sizing inventory. These challenges led to supply chain inefficiencies, increased carrying costs, and declining profitability. To remain competitive, they sought a future-ready forecasting solution to enhance decision-making and optimize inventory planning. 

Solution  

Visionet implemented its AI-driven Forecasting Solution, enabling the client to analyze historical and real-time data, predict demand, optimize stock levels, and identify slow-moving inventory. This transformation improved inventory turnover, reduced costs, and enhanced customer satisfaction. The solution resulted in a $100M reduction in inventory carrying costs and improved forecast accuracy to 87-94%. By leveraging AI-powered insights, the client achieved greater business agility, streamlined operations, and strengthened their competitive edge in the retail market. 

Why to download this case study? 

Discover how Visionet’s AI-driven Forecasting Solution helped a leading home goods retailer cut $100M in inventory costs, achieve 87-94% forecast accuracy, and optimize supply chain efficiency for increased profitability and agility. 

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Estimated Time
1 min read