Pradnya1208/Time-series-forecasting-using-Deep-Learning
The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.
This project helps retail managers and business analysts predict future item sales for various stores using historical sales data. By feeding in past daily sales records, it generates forecasts for upcoming sales, allowing for better inventory management and strategic planning. The primary users are professionals involved in retail operations, supply chain, or sales forecasting.
No commits in the last 6 months.
Use this if you need to accurately predict future sales volumes for specific products at different store locations to optimize inventory and operational planning.
Not ideal if you need a real-time forecasting solution or if your primary interest is in predicting sales for entirely new products without historical data.
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MIT
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Jan 11, 2022
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