Sales Forecast Solution For Retail
Client is a leading retail establishment, renowned for its expansive footprint and comprehensive product selection. The company is distinguished by its commitment to accessibility, exceptional value, and customer-centric service.
The client struggled with managing noisy and inconsistent retail data for reliable sales forecasting. The client faced a major challenge in getting accurate historical sales data, assessing promotion impacts and capturing seasonality trends. Additionally, they faced difficulty in considering external factors like holidays, economics, weather, and local events. Therefore, the client required a robust solution that integrated seamlessly with existing systems while maintaining scalability and real-time performance.
The client struggled with managing noisy and inconsistent retail data for reliable sales forecasting. The client faced a major challenge in getting accurate historical sales data, assessing promotion impacts and capturing seasonality trends. Additionally, they faced difficulty in considering external factors like holidays, economics, weather, and local events. Therefore, the client required a robust solution that integrated seamlessly with existing systems while maintaining scalability and real-time performance.
The client struggled with managing noisy and inconsistent retail data for reliable sales forecasting. The client faced a major challenge in getting accurate historical sales data, assessing promotion impacts and capturing seasonality trends. Additionally, they faced difficulty in considering external factors like holidays, economics, weather, and local events. Therefore, the client required a robust solution that integrated seamlessly with existing systems while maintaining scalability and real-time performance.
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