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https://walmart.converge.tech/content/converge/en_in/sparkathon.html

How do the entire supply chain of Kirana (retail) store works in India?

https://www.quora.com/How-do-the-entire-supply-chain-of-Kirana-retail-store-works-in-India

HOW THE SOLUTION SHOULD BE PRESENTED https://chatgpt.com/share/68572391-5e40-8013-af8e-e748a44cc2f9

What are the key issues faced by Indian manufacturers when it comes to retail supply chain?

  1. Inaccurate demand forecasts
  2. Un-organised transportation industry may lead to dispatch issues, overburdening limited FG storage space

MY THOUGHTS

  1. we can provide the local retailers (kirana stores in india)
  • a dashboard with ai enabled forecast for demand

    • if an item is selling more/less on a specific season/festival
  • an inventory management system

  • delivery of the goods to thier stores

  • depending on the store size ( A - Large(pickup) -> a basic floor plan system with ai to maximize B - Medium(a person sells sitting in the store) -> idk C - Small(local home shops) -> (issue is that they dont need any of these) -> idk D - Dark Stores(wholesellers of local town) )

  • a dashboard with ai enabled suggestions for buying of products Based on - what is the average age group of the city/town. - what is the income - Various other factors we ask these questions to the sellers to enter the data on behalf of the customer, they can ask them while they are scaning the cart.

  • A place where everything is at one place

  • Payment and credits (we can provide the products on credits)

    • i.e pay after the product is sold allowing small bussiness to enter and make it easy.
  1. For walmart
  • we will have data about what the locals needs and can stock the store accordingly
  • we can feature ads on the site

So the process would look like this

a local store owner will register on the walmart site and

  1. create a acc
  2. buy the products from the store on the website. (gets automatically added to the Inventory management system)
  3. option of pickup/delivery from the nearby walmart store
  4. after selling the product -> Inventory updates and generates alerts After appropriate amount of data is collected
  5. the model will give suggestions on what to buy (sell percentage in that city)
  6. automatic Reorder(Restock) button. as we will target a lot of the stores the ai will do better as we get more data of which item is doing well in which city

Targeting the local kirana stores will

  • cut the cost of the last mile by Increasing the average order value.

  • Save Fuel and envirnment as we delivery items in bulk.

  • local kiranas know what to order so out algo will develop and help in understanding the local needs of the town. PLEASE ADD MORE ACCORDING TO THE THEME WHAT IS ASKED LIKE REDUCING THE LAST MILE ALGOS DATA BASED SOLUTIONS EXPLAIN IN DETAIL HOW IT HELPS WALMART

  • What if Walmart does not have a store nearby

    • use hyper-local fulfillment centers to manage.
  • We use advanced AI/Data driven solutions as well as with support of walmarts efficent sourcing from manufactures we will be more productive and than Udaan

  • Data is collect from the Stores as they order it from our site and we handle their inventory

  • MORE TO DISCUSS ON MODEL USED

  • Tech Stack Webapp - nextjs (with dashboard and analyltics and ai suggestions baked in) backend - microservices ( ai server / analystics / inventory management / order and sell)

  • Use basic traveling sales man problem to more solve the cost to delivery..

Competitors https://udaan.com/about-us we are making BASICALLY UDAAN WITH AI

ANS THE FOLLOWING

  1. What is yout idea (summary of the solution)

  2. What is the main problem you are solving?

  3. How are you trying silve this problem?

  4. How would you implement all the ai features ?