Friday, November 15, 2024
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AI for Supply Chain

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Siraj Raval

Every product in your home is there as a result of being distributed across whats called a supply chain. The path that a commodity takes through manufacturing, transport, distribution centers, etc. is called the supply chain. The supply chain for most companies is riddled with inefficiencies. Late drivers, bad weather conditions, suboptimal planning, timing issues, the list of things that can go wrong is endless and most of this coordination is done by humans. AI can be used to optimize this entire pipeline, from planning to autonomous transport. In this video i’ll demo an app using IBM’s Logistic Wizard to optimize a simulated companies supply chain, as well as build a time series forecasting model using Keras to predict the price of a shipment on a certain date.

Code for this video:
https://github.com/llSourcell/AI_Supply_Chain

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More learning resources:
https://www.tandfonline.com/doi/abs/10.1080/13675560902736537
https://news.crunchbase.com/news/alloy-raises-12-million-to-bring-ai-to-supply-chain-management/
https://www.americanexpress.com/us/content/foreign-exchange/articles/using-AI-in-supply-chain-management/
https://www.forbes.com/sites/oracle/2018/03/07/data-the-new-ai-supply-chain/#2499f7b16049
https://www.ibm.com/us-en/marketplace/supply-chain-insights?S_PKG=OV60982&cm_mmc=Search_Google-_-IBM+Watson+Customer+Engagement_Watson+Supply+Chain+-+Supply+Chain+Insights-_-WW_NA-_-ai+in+supply+chain_Exact_OV60982&cm_mmca1=000020LZ&cm_mmca2=10006656&cm_mmca7=9061263&cm_mmca8=aud-295225167539:kwd-427960545262&cm_mmca9=9f6dfb3c-4b94-4f53-a67e-219704bef887&cm_mmca10=265871013815&cm_mmca11=e&mkwid=9f6dfb3c-4b94-4f53-a67e-219704bef887|1467|21744&cvosrc=ppc.google.ai%20in%20supply%20chain&cvo_campaign=000020LZ&cvo_crid=265871013815&Matchtype=e
https://medium.com/@KodiakRating/6-applications-of-artificial-intelligence-for-your-supply-chain-b82e1e7400c8

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31 thoughts on “AI for Supply Chain”

  1. Hi Siraj, Great video! Could you maybe do a video for the Postal & Parcel delivery service as well? I think that space could be ripe for disruption at the mo as well

  3. Ahahaha I lost it at:
    ' You guys get money, I get happy that's just how it works…'
    …
    ..

    'and i got my paid course and book sales and my ad revenue my patreons AND SPEAKING DEALS'
    ???

  4. Thanks for the video, very clear. I have one question, can I do the same but with sklearn only? not with Keras. Maybe with LinearRegression or SVM or Knn?

  7. Great Vedio Siraj, First feedback so I would stick to the bottom line, Can you please make a topic on how to do CONTROL and MEASUREMENT USING AI. Meaning a tool for companies to build strategy in targeting a specific area that is most suitable and then be able to measure the impact of the choice continuously.

  8. Engineers working on Supply Chain are very tough in maths and statistics with its deterministic methods such as simplex. so it is hard to chagen their mind into artificial intelligence but we will try wih your advices dear Siraj. You have done a good job as usual explaining these bussines oportunities a little compressed but we also can stop the video :). Please can you talk about Machine Learning applied to Geographical Information Systems?

  10. This is what we need: Applications ("example"). I wanted to know what about patient dropout or non adherence to dr appointments or medication? Is there a way to model this? TO improve w ai? Maybe I can look at it like a supply chain? I bet the main variable that predicts drop out is wait time. How can I figure it out? Do I need all the patients data? Yes you are good. thnx

  11. Yo siraj

    Would love a video explaining the intuition, mathematics and application of the new and awesome ML algorithm XGBoost and how its different from the regular gradient boosting class in sklearn.ensemble.

  14. I am working in the supply chain department, we have similar data that you showed in the video but much uglier. I spend a lot of time normalizing this data for the purpose of documentation to inform sales department to pay freight costs. I am just getting started in the company and I am so worried if that is not normal about the very ugly data we receive from different sources (carriers and the company plants). Thanks for the video, I will definitely work on a project to extract some insights from this data.

  17. Hi Siraj,
    Big fan following your 3 months machine learning study plan presntly.

    Can you please explore AI in chattered accountant and civil engineering or mechanical egineering designing aspects. Or atleast provide the thought process in this disciplines.

    super excited to hear your thoughts on the same

  18. AI is intelligence exhibited by machines, or when machines mimic or can replace intelligent human behaviour, such as problem-solving or learning. The beauty of AI-based solutions is that they learn and drive continuous improvement over time. They get more precise and sophisticated as they gather more data and more experience. The sooner you start, the better the results you’ll see in future, and the further ahead you will be. With the right AI solution in place, you can outpace your competitors today, and be well positioned for reaping even bigger rewards of AI’s promised tomorrow.

  21. I agree with most things except for the blockchain part. Blockchains DO NOT make good data bases. It would be way way better to just use digital signatures.

  31. hi Siraj, I have a question regarding the logistics firm. I have been given the sales data and the costing of the vehicles of a logistics firm. So currently the firm has a 1.5 million USD turnover and there's a new client who,s business would be of worth 1.5 million USD alone. So how should I expand my business to the new client with the current resources available and which all resources to buy and all such detail stuff to make a clear idea.

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