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The Preshipping Algorithm
  • Using advanced mathematics e-commerce players like Amazon or Flipkart can pre-ship the product to the buyers.

    For example if you buy a book on Amazon, it can reach to your hands on that same day. Because amazon knows that there is a possibility of a person buying that book from your city.

    How it can work
    • Using dynamic address labels. Instead of static address on a product cover, it can be a dynamic address. It will be a simple scannable code like QR code, which will be dynamic when scanned to read the address. The reader will be connected to internet.
    • Using mathematics to predict the buyer behavior. Similar to packet switching networks. Good thing is that through dynamic address label, nonbought product can be moved to another hub or back to the seller. 
    Feel free to copy this idea. If such a system already exist, please let me know.
  • 12 Comments sorted by
  • TLDR: So there are numerous delivery points throughout the country , goods ship to these delivery points based on the demand predicted by the AI system.

    This is how i understand it :

    Before:
    I am ordering a book today at flipkart , it takes three days to ship from banglore to my place.

    After:
    I am ordering a book today at flipkart , by evening i get the book.This happened because a massive AI thinggy predicted that so and so book will be in demand in my area.

    crazy!
  • With an Amazon already using this elsewhere, it can be readily deployed pan India when it feels the need to do so. Flipkart will have to pilot it across their top 2-3 cities (consumer wise). That will give them some absolute essentials to retain and some points to throw away. Estimating a time frame of atleast 3-4 months for this to work atleast 4-4.5 sigma for Flipkart and till then Amazon would have a huge headstart over them. Awesome stuff!
  • One of the challenges that I see with the companies/products being discussed here is,
    For eg. books, its very difficult to predict demand for books as we have so many titles, and different covers, different editions of the same book. One can not be sure in predicting the order across 1000's of cities.
    It may work for items like mobile phones and laptops etc and across tier-1 city as of current e-commerce trends.

    Also, this kind of idea will require lot of control within network and investments for smaller warehouses or storage locations.

    But same day delivery through eCommerce which is WOW and not expected service right now can be achieved by charging little extra and using existing courier services for the same.
  • Koroth... That's a superb idea... I think this is quite possible by analyzing the previous sales pattern... This is what the future is going to be.. I mean Big Data Analytics... 

    I am in for this idea and would be completely interested to start working on this... Let me know if anybody is interested as well, preferably in Bangalore, so that we can discuss, plan and work together to implement this... 

    Cheers,
    Rohitesh Gupta

  • Please elaborate .... be more specific... couldn't understand exactly but seems interesting
  • Please brief on the same...
  • Please elaborate on the algo..
  • One (limited) version of this algo is called a convenience/kirana store - the grocer usually can predict how much an individual family is going to buy for what! But I like the idea - extend what a kirana or a convenience store does (small inventories for a few things) extended to predictable stuff across more categories. Start with easily repeatable ones, and then move to stuff that happens in "waves" or follows trens - like Beyblades for young boys in an apartment/locality.
    Sameer, Bangalore
    http://linger.in
  • I like this idea of using dynamic labels. However it may work, if the company owns last mile delivery, like Flipkart and have warehouses. Secondly, company must charge for less than a day delivery. Flipkart doesn't do it but I think they may have to do so in future. Amazon already does it.

    I visualize it like this. Say company senses that there may be demand of 100 books in Chandigarh. So company will ship 100 books each with a different label. It may be possible that eventually 40 orders for books are placed. So 40 books are delivered, for the remaining 60 which may be stored in CHD warehouse, system may flash 40 books to be delivered back to Delhi and 20 may be delivered to another city where there may be a demand. As I said without owning last mile delivery, company will waste a lot of money on couriers and storage.
  • @unni koroth

    Just because u mentioned Flipkart .. book i ordered on jan 13 is yet to be delivered... they are still in search of the book

    and back to topic purchase history can not be an indication of future purchase, may be except for regular items like toothpaste..  Human mood swing may kill all you preshipping plan in a moment..  especially in india..



  • This seems like the regular retail supply chain. Based on the demand at a particular locality, the retailer in that location keeps more stock of that particular product. Same holds good for distributor/stockist. The only new thing here is the dynamic labeling which would not be needed if you have a retailer who stocks products based on the demand. How else this model is different?
  • i don't think this algo.. Is going to work in this multicultural and overpopulated Indian Market...

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