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  • 1.  Mukesh karkey - How AI can be improve the Supply chain Mangament ?

    Posted Wed September 03, 2025 08:40 PM

    Hello,

    My name is Mukesh Karkey, I want to know about the how AI and data science be leveraged to optimize supply chain management in real-time,

    particularly for predicting demand and managing inventory?

    Regards,

    Mukesh Karkey



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    Mukesh Karkey
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  • 2.  RE: Mukesh karkey - How AI can be improve the Supply chain Mangament ?

    Posted 28 days ago

    Hi Mukesh,

    AI and data science optimize supply chains mainly through better demand forecasting and smarter inventory control. Machine learning models use sales history, seasonality, and external signals (like weather or market data) to predict demand more accurately than traditional methods. This helps avoid both stockouts and overstock.

    On the inventory side, AI can adjust reorder points in real time, recommend redistribution between locations, and factor in logistics delays. When paired with IoT or ERP data, it provides real-time visibility, so disruptions can be flagged and corrected quickly.

    In short, predictive analytics drives demand planning, while optimization algorithms manage stock levels and replenishment, keeping costs low and service levels high.



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    Brandon Keller
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    Original Message


  • 3.  RE: Mukesh karkey - How AI can be improve the Supply chain Mangament ?

    Posted 28 days ago

    Hi Mukesh,

    Chapter 3 of my book covers the IBM Large Language Models which can be used for forecasting .

    (Ultimate IBM Granite for Enterprise Applications - AVA®- An Orange Education Label - Alan S. Bluck

    AVA®- An Orange Education Label remove preview
    Ultimate IBM Granite for Enterprise Applications - AVA®- An Orange Education Label - Alan S. Bluck
    Free Book Preview ISBN: 9789349888562eISBN: 9789349888807Rights: WorldwideAuthor Name: Alan S. BluckPublishing Date: 25-Aug-2025Dimension: 7.5*9.25 InchesBinding: PaperbackPage Count: 480 Download code from GitHub - AVA®- An Orange Education Label
    View this on AVA®- An Orange Education Label >

    )

    Time series forecasting has been successfully used for financial applications, sales forecasting, long term weather forecasts, and for medical applications. Time series forecasting can be applied to process any historical datasets which record changing values over a time period, allowing the prediction of future values of a sequence of data points that are recorded at regular intervals, over time. IBM's Tiny Time Mixers (TTM) algorithms are trained on historical time series data to learn patterns and relationships, enabling them to make predictions about future values. IBM recommends the TTMs approach, which they are planning to extend to other AI applications because using the very small pre-trained model for multivariate timeseries forecasting is very efficient, when compared with earlier versions.

    Best wishes,


    Alan


    (Alan S Bluck,

    IBM Champion (2025),
    IBM Champion (2024),
    IBM Champion (2023),
    IBM Champion (2022)
    IBM Silver level PartnerWorld Business Partner,
    RedHat Accredited Business Partner,
    Director, ASB Software Development Limited)



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    Alan S Bluck
    Director
    ASB Software Development Limited
    Ringwood, Hampshire, England
    0044 7710612479
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    Original Message


  • 4.  RE: Mukesh karkey - How AI can be improve the Supply chain Mangament ?

    Posted 24 days ago

    Hi Mukesh,

    Artificial intelligence and data science play a critical role in accurately anticipating market changes. Machine learning models integrate historical sales data, seasonality, consumer behavior, and external factors with real-time insights, allowing for more reliable planning adjustments.
     
    In inventory management, advanced analytics not only helps maintain optimal levels but also facilitates stock redistribution between distribution centers, identification of product turnover patterns, and rapid response to unexpected spikes in demand. Furthermore, the use of IoT and smart systems provides complete traceability and visibility throughout the supply chain.


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    Luis Fernando Sanchez Diaz
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    Original Message


  • 5.  RE: Mukesh karkey - How AI can be improve the Supply chain Mangament ?

    Posted 22 days ago
    Edited by Mathew Barrie 22 days ago

    Hi Murkesh,

    For predicting demand, there are plenty of demand planning tools in the market, now with AI capabilities inbedded. IBM has own named Planning Analytics. This can be a great way to start and having these tools in place provides a fantastic data readiness (Planning Analytics can get data from a variety of existing sources such as ERP, Snowflake, Salesforce etc) to enable agentic AI capabilities in downstream supply chain operations such as reallocations of existing inventory between locations, order/reorder etc.

    Regards,

    Mat Barrie



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    Mathew Barrie
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    Original Message


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