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    Stockwise: a predictive inventory management system for retail and wholesale traders

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    Undergraduate dissertation (1.333Mb)
    Date
    2024-06
    Author
    Katwigye, Caleb Jeromy
    Agaba, Blaise
    Kakande, Abdulatiff Musa
    Gazeghen, Samuel
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    Abstract
    Predicting product sales accurately is a crucial part of trade in today’s market. StockWise is an innovative inventory management app created to help retailers and wholesalers accurately forecast product demand and manage inventory levels. Using historical sales data and machine learning, StockWise predicts future product demand with high precision. It also excels at managing data efficiently, allowing users to store sales information securely. This forms the basis for precise demand forecasting, enabling users to make smart decisions about their stock. As development continues, StockWise aims to improve inventory management by optimizing stock levels, reducing stock-outs, minimizing excess inventory, and boosting overall efficiency thus this app represents a major step forward in inventory management in the trade industry.
    URI
    http://hdl.handle.net/20.500.12281/19975
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    • School of Computing and Informatics Technology Collection

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