Background:

An established online retailer of consumer goods had been facing a challenge of declining sales despite having a large customer base. They had tried different strategies, but nothing seemed to work. That’s when they approached Scadea for help.

Solution:

Scadea’s team of AI experts analyzed the retailer’s data and identified several areas for improvement. They built an AI-powered solution that incorporated natural language processing and predictive analytics to help the retailer offer personalized product recommendations to their customers based on their browsing history and past purchases. The solution also helped the retailer optimize their inventory management and pricing strategies.

Results:

The retailer was able to increase their sales by 20% within the first three months of implementing the solution. The personalized product recommendations led to higher customer engagement and retention rates. The optimized inventory management and pricing strategies helped the retailer improve their profit margins.

Key Benefits:

AI-powered personalized recommendations Improved inventory management Optimized pricing strategies 20% increase in sales