 Ladies and gentlemen, this is one of the most interesting sessions which I would like to moderate. Because here we are going to discuss about last mile delivery, logistics, how traditional companies are actually adopting AI in transportation and delivery. So I have got an esteemed set of panelists where we have a start-up founder who is actually helping various companies in fine tuning their logistics and technology domain. We have a last mile logistics player, we have a traditional company and he is going to talk about how they are actually adopting technology and AI to further automate the operations. So I will quickly just give 30 seconds to each of you to quickly introduce yourself and then we will get into the discussion mode. So I am going to start with you Vishal. Hi, this is Vishal, I am the co-founder of Vodkast. We started this company eight years back and we are trying everything which moves. It can be assets, employees and we are doing lots of things in terms of supply chain logistics, last mile logistics. So that is the core of Vodkast. I am Prashant Sharma and I am working with the SLCM Group as Group CTO. And just to make my introduction relevant, we are working on AI front with respect to making a unified supply chain for every communities right after harvesting, means post harvesting. And our technology right now has successfully adopted the quality checking of the communities and one of the ideas first to get the NABL certification for the physical parameter verification through mobile app by using AI ML technology. And our future plan is to integrate all the supply chain elements just like Amazon has done for retail business. Hi everyone, I am Nikesh. I am the CPU for Shadowfax. Shadowfax is a third-party of this company. And we provide a range of service which starts from 30 minutes to 2 hours to 4 hours same between NB and D, end to end e-commerce delivery. We have done it in India and a lot of the technology part which actually enables us to be able to deliver on the customer expectation at the lower cost. So we do a lot of work in using the technologies to make sure that we deliver the best experience with the best cost. I am going to start with you, a very traditional company. And we actually want to understand how a traditional company in today's day and time is adopting new age technologies and how it has actually helped them being relevant in all the time possible. So it's a very interesting combination that while addressing SLCM is a traditional company but at the same time we hold a patent called AgriReach which stands for all the processes, techniques and systems which ensures that the most harvest loss should be less than 0.1 percentage. And according to the government data it is approximately 10. something percentage. So you can easily imagine that how processes, technology and systems work together to reduce that kind of loss. So generally in newspaper we read or we induce, we hear about like losses which happens due to some mismanagement of the communities we try and it just gets wasted, it gets rotten. But if right technologies we use to monitor it and right technologies used to check the quality of it right from the beginning then it is very, it's not that hard to reduce those kind of losses and just imagine that from what hardship or farmer grows that and it has to reach to the plate of so many hungry people. So it means that there is a lot of room to do, to do. Now how we can adopt this thing is just simple if we are although I do not take a claim of it or I do not take the credit of it it's a credit of CEO, Mr. Siddheeswara that he thinks in that way that what next we can do in terms of adopting a technology in such an efficient way that with small change it can bring a lot of value to the end user. So when he thought about the processes we got this patent so you can see traditional company but it has a patent right it means it is doing something new, something, it is doing something innovative. Now why we became the first, one of the first company first company who created a quality check app because it just started a small thing that if somebody is doing with the images so many things can we do it for the smaller communities which are very small in size and shape we just took that challenge, we worked upon it, we started in 2021 and down to the 24 we are aiming to get 16 communities in our app although the pace might not bring that kind of thrill but now we know that after so much of learning trial and error we can add so many communities now in it very fast so this is one of the element is trial and error one of the element is trial and error and we always see the horizon where the technology is heading to and just trying to be aware of the use cases that can cut across your line of business so these are very simple rules but it requires a lot of hard work to get start those things because it requires investment and all those things we did that work, we get grant from the responsibility a European company then we also got some grants from AWS we also got done POC free of cost from Google as well so it required a lot of efforts, a lot of networking as well so that's how we actually came to this question, we can say that now we can scale it Vishal coming to you, you have actually worked with companies like bigger corporates like the likes of jubilee so how did you help them in the logistic space particularly first of all, people are here for this session so we are talking for these people so if you can come down can I ask for a few to come let's have an interactive session here please take the front stage we will preach this session very soon, don't worry, we will have a good session it's very interesting, we will talk about good things which you can relate to we will talk about the tech, we will talk about the basic things but you can understand what we all talk about with AI thank you so much, thank you the question is how AI is helping us in providing the good service to our clients first of all, are you all aware that what is AI we are talking about AI, we have started this discussion but what is AI we are talking about AI I am sorry, I am running again and again I will just convert to English in Hindi because they are connecting us, they are talking to you correct, so I am asking you all this you all have used AI the navigation you do on Google Maps is AI you order from Swikis or you delete it from Chateau Mix that is AI what is AI? the collection of data, we collect the data we have and we analytics through it, that is AI I am asking the question because I have kids they ask the same question, dad, will this happen in AI or tech they don't know that AI is there, for them it is an AI term because these days we write AI everywhere Facebook's AI is there, they feel that AI is something amazing AI is a data thing you can save lots of things by reading the data correct, now the main question that I have what do we do in AI's orbit AI removes the repeat tasks we are making mistakes again and again we are removing the mistakes I can give you an example of what AI is suppose we are talking about supply chain what is AI in supply chain now you have ordered overstock you know that you are planning for Diwali you have ordered overstock it has been wasted we will be able to tell you how many stocks you have to order how much you have invested in the supply chain suppose you have ordered 1000 pieces but the supply chain is not available you are making a wrong expedition and you will not be able to deliver the goods this is AI you have fuel consumption in your car you have to go on a route so that it can reduce the fuel consumption which truck should go suppose your load is 20 days which truck is optimized for that 20 days which will cost less, that is AI so we have been doing AI since childhood but we have never thought about it if it comes to understand it first we were doing manuals now we are doing commuteries so that we can get faster results that's I think I have even more than the question if you need to ask anything about AI then obviously we will start this session also after this 3 more questions, correct everyone what is AI, so now tell us how we are actually helping companies correct I am helping the companies we are saving the fuel we are doing all the analytics suppose you have 1000 metric tons which you need to upload on the truck so how to plan that truck we are using a 3D AI so that we can plan how to stop the truck so that we can have a maximum load in one truck or how to divide the load in different trucks that we have to use 50 feet truck or 40 feet truck or 50-70 feet truck so that's the AI which we are using and we are providing this to our customers your whole roadster management we are doing a route optimization for our clients through the technology they are able to create a minimum kilometers and minimum time so that's the AI which we are using and we are providing this service to the client hope you got the answer yeah, Ritesh coming to you I mean as a last mile logistics player I mean the same question to you how AI has actually helped you in transforming and utilizing the operations to a better efficiency so we at shadow packs we actually handle logistics starting from the first mile to the last mile and also we play in a lot of the hyper-local space now if I have to look at the role of technology in this overall e-commerce slash hyper-local logistics see there are three big reasons or three big areas one is the customer experience the second is the cost and third is a lot of fraud prevention now as a lot of these e-commerce players have proliferated into the bottom of the pyramid the lower threat of the population what we see is their understanding of adjusting a very simple example their understanding of how they write the addresses what kind of pin codes or areas they use in the language they use it is very very different and it differs from geography to geography if you look at Bangalore or South India versus go to Delhi and then go to up north in Punjab and all the way people write their addresses is so different half of the people don't even know their pin codes and a lot of logistics and some pin codes today now solving this problem itself is where for us AI or machine learning has played a big role in how to understand what the customer wants to say about an address where does his house is I think 2-3 years back when we were trying to solve this problem we had a huge number of shipments which were getting cancelled because we were sending it at wrong places because we couldn't understand their addresses altogether that's just one example of how we can influence a customer experience just by leveraging technology we talk a lot about cost optimizations obviously once the data is there you can run a lot of optimizations you can run a lot of I mean heuristic based optimizations as well and getting this cost, root optimization I mean we know all about that this is where a lot of cost gets come into the picture right planning, just taking one very simple example of you know the houses and logistics optimization can work out in a very very unpredictable demand scenario so if you are getting a lot of demand from 2 different geographies where you have to move goods you can at the real time you can optimize your routes which can save on fuel, which can save on cost which can save on customer experience because your trucks which are supposed to go 3 destinations in a single route can just navigate or go to one destination or you can split the destination, this is the demand variations which are happening between source and destinations thirdly I will talk about fraud and fraud dependency when you get into the e-commerce world whatever we say there is a lot of fraud which happens and it is not just a customer play there are so many parties involved you have sellers who are selling goods you have the trucks which are involved you have customers now these AI and ML it helps you figure out data patterns where you can actually capture who could be the possible fraud led agent here and in this world right now this is one of the biggest problem which we face of losses because of frauds and it happens but this is where technology plays a role in optimizing and being able to detect and then prevent and that is how some of the areas where we have been using there is a lot of automation which we can do which does happen this is where how it is helping us transform our world okay Nisha do you want to add to this I would just like to bring a very lay main definition of understanding of AI because that will probably give a drive some insights over it or maybe it will drive interest as well just imagine you have two pencils and if I ask you can you lend one pencil can you do that can you do that yes if you have something that you can lend it right if you have a skill if I ask you that please make other person to learn that skill can do that you can do that because you know the process how to learn that skill and then you can transform it but in all these things I am dependent upon you you have to give it to me you have to make other person to learn right I am dependent upon you what if I somehow capture your intelligence and I reuse whenever I want it then your dependency is reduced by one time right so artificial intelligence does something of that sort but for internet the raw thing is the data so what it does is it doesn't need mathematician it doesn't need any social engineer it doesn't need any economics it just knows that I have these data I have few algorithms available which try to understand the pattern he says the pattern if I define it more intuitively it try to define the relationship between those data what is happening between these two iso data let's suppose there is a supply chain farmer grows something he bought seed from somewhere then there was some climatic condition on which harvesting happens then it goes through some XYZ kind of logistics to the trader maybe from Monday to trader from trader to the food processing and then from food processing to and the supermarket and then from consumer so there is a chain towards it now if I have to make relationship between all these things to ensure or to deduce what kind of quality I am going to get I need a lot of skills I need a skill of agriculture I need a skill of mathematician I need a skill of logistics person but with AI I just need the data I don't need all those people it means intelligence become repeatable so that is the unique thing that AI does that if I have those tools available I can just put in the data and try to find the meaning out of it and test those meanings with respect to the unknown data and if it matches it means I have cracked it but how I have cracked it it is just a mathematics behind it which is working that I need not to know because it is just tool now so that is wonderful thing that AI is doing that it is making intelligence available to the end user to some extent