Predictive Analytics – Forecasting Demand in Retail

Client: A Global Fashion Retailer

Challenge

The client struggled with inventory mismanagement, leading to excess stock in some locations and shortages in others. Traditional forecasting methods failed to predict seasonal and regional demand shifts accurately.

Solution

We deployed an AI-powered chatbot using NLP and machine learning to handle routine customer queries, billing inquiries, and troubleshooting requests. The chatbot could escalate complex issues to human agents when necessary.

Results

60% reduction in call center workload
80% of inquiries resolved without human intervention
Customer satisfaction increased from 72% to 91%

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