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

dc.contributor.author Katwigye, Caleb Jeromy
dc.contributor.author Agaba, Blaise
dc.contributor.author Kakande, Abdulatiff Musa
dc.contributor.author Gazeghen, Samuel
dc.date.accessioned 2024-12-09T08:58:38Z
dc.date.available 2024-12-09T08:58:38Z
dc.date.issued 2024-06
dc.description A project report submitted to the School of Computing and Informatics Technology in partial fulfillment of the requirements for the award of the Degree of Bachelor of Science in Computer Science of Makerere University en_US
dc.description.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. en_US
dc.identifier.citation Agabam B. ... et al. (2024). Stockwise: a predictive inventory management system for retail and wholesale traders; Unpublished dissertation, Makerere University, Kampala en_US
dc.identifier.uri http://hdl.handle.net/20.500.12281/19975
dc.language.iso en en_US
dc.publisher Makerere University en_US
dc.subject Stockwise en_US
dc.title Stockwise: a predictive inventory management system for retail and wholesale traders en_US
dc.type Thesis en_US
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