🥇

# Pitch Super Check-In

JB : We are Flowlity and we are solving a $2 Trillion dollar problem.

This is the amount lost every year due to a combination of overstocks and out-of-stocks in the supply chain.

Let me tell you about Mathieu, Supply Chain manager at Peugeot. Because of a bad supply chain planning, he is using helicopters once a month to ship raw materials just not to stop the production line. When it happens, like in 2017 Peugeot lost 200 millions in only 3 weeks.

We are in 2018 and Supply chain managers are still using static formulas from 1934, have no visibility on what's happening on the supplier side and are using excel sheets to deal with all data they have.

I have seven years of experience in the supply chain industry and I can assure you, that no one in the market is addressing well the problem.

I am Jean-Baptiste and together with my co-founder and CTO Karim who is a machine learning expert, we saw a big opportunity to solve the problems in the supply chain industry with AI and big data.

We are Flowlity and we are disrupting the way stock and supply orders are planned today. Let me first introduce our team. Karim is the CTO of Flowlity and is a machine learning expert. On my side, I am Jean-Baptiste, CEO, I have seven years of experience in Supply Chain. Together, we are perfectly suited to build a solution that helps Supply planners know how much and when they should reorder products to their suppliers. In 2017, according to PWC, companies lost $1.75 trillion due to a combination of overstocks and out-of-stocks. This is a massive issue and not one is tackling this properly.

Let me first introduce our team. Karim is the CTO of Flowlity and is a machine learning expert. On my side, I am Jean-Baptiste, CEO, I have seven years of experience in building and selling supply chain planning solutions. I deployed them in many industries and I am shocked about how much supply chains are still inefficient. It is always about fire-fighting and there is either too much or not enough stocks. I spotted a particular use case where the situation is very bad and where I know machine learning can make a huge difference.

When you are running a supply chain, you need to plan for how much products you will buy to your suppliers. If you buy too much, you waste products and money, if you buy too little, it stops and delays productions.

However to compute how much they should buy, Supply Chain Planners use static formulas that are 105 years old. Those formulas are not fit to today's world where demand is volatile and supply chains are all interconnected.

In 2017, according to PWC, companies lost $1.75 trillion due to a combination of overstocks and out-of-stocks. At Flowlity, we disrupt the way stock and supply orders are planned today.

We are a SaaS platform that is computing in real-time the optimal stock levels and replenishment using a combination of AI and optimization.

No more static formulas, we minimize the costs and compute the probability of not receiving an order and the volatility of demand with supervised learning models in real time. We use all the data from our customer, and all the data we can get either from suppliers or external factors like weather and financial status to predict the perfect amount of stocks.

Supply chain managers have access to a dashboard where they can monitor their stocks and replenishments with our recommendations.

And we designed our architecture as a network from the beginning, we match and structure information from different entities and by doing so, all data can be seamlessly connected in order to make better decisions and improve global performance.

Ultimately, what we want to do is connecting company in a global network . This does not exist today and this will be a revolution for how companies are working. Imagine, one storm hitting a production facility in Florida and all impacted companies will have already reacted to it by adjusting their stock. Supply chain disruptions will be something from the past.

JB : We are Flowlity and we are solving a $2 Trillion dollar problem.

This is the amount lost every year due to a combination of overstocks and out-of-stocks in the supply chain.

Let me tell you about Mathieu, Supply Chain manager at Peugeot. Because of a bad supply chain planning, he is using helicopters once a month to ship raw materials just not to stop the production line. When it happens, like in 2017 Peugeot lost 200 millions in only 3 weeks.

We are in 2018 and Supply chain managers are still using static formulas from 1934, have no visibility on what's happening on the supplier side and are using excel sheets to deal with all data they have.

I have seven years of experience in the supply chain industry and I can assure you, that no one in the market is addressing well the problem.

I am Jean-Baptiste and together with my co-founder and CTO Karim who is a

machine learning expert

, we saw a

big opportunity

to solve the problems in the supply chain industry with

AI

and

big data

.