Our client struggled to anticipate demand fluctuations. Sales spikes during key periods like sales events or holidays were hard to forecast accurately, leading to stockouts on popular items and excess inventory on others.
Forecasting errors led to high costs, with end-of-season products needing to be sold at a discount, and frustrated customers facing stockouts during peak demand.
With Strat37’s AI Assistant, our client began using AI-driven demand forecasting. The AI integrates internal data, such as sales history and customer behavior, with external factors like market trends and weather to predict demand by model, size, and color.
Today, our client manages collections with unparalleled accuracy, optimizing inventory and boosting sales. AI-driven forecasting has become a strategic tool, allowing the team to anticipate and meet demand, even during the busiest seasons.
