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Poongothai et al., 2024 - Google Patents

Smart Retail Using Machine Learning for Demand Forecasting and Inventory Optimization

Poongothai et al., 2024

Document ID
16650143429278398639
Author
Poongothai K
et al.
Publication year
Publication venue
2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)

External Links

Snippet

Considering the fact that the current level of complexity in the retail sphere caused by demand forecasting and inventory management, the given disable due to the outdated statistical methods such as moving averages and exponential smoothing lead to the …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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    • G06Q10/00—Administration; Management
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading, distribution or shipping; Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement, balancing against orders
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    • G06Q10/00—Administration; Management
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/06—Buying, selling or leasing transactions
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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