Key Challenges
Lack of Customer Behavior Insights
Disconnected data sources led to limited understanding of customer preferences.
- The retailer struggled to gain actionable insights into customer behavior due to siloed data from various online and offline channels. This lack of visibility resulted in generic marketing efforts and missed opportunities for personalized customer engagement.
Overstocks and Stockouts
Poor inventory management caused revenue losses and customer dissatisfaction.
- Inefficient inventory systems led to overstocking of low-demand products and frequent stockouts of high-demand items. These issues disrupted operations, increased holding costs, and diminished the customer experience.
Inefficient Sales Forecasting
Traditional methods couldn’t adapt to market dynamics, causing inaccurate predictions.
- The retailer relied on outdated sales forecasting models that failed to account for seasonal trends, promotional events, and market fluctuations. This resulted in missed revenue opportunities and poorly planned strategies.