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# Pitch W1

# What is the problem you are solving?

Companies today are not able to react fast and to anticipate Supply Chain disruptions.

One in every three organizations report losses of more than $1 million over the last year due to supply chain disruptions and the number of disruptions are on the rise within companies up to 22%.

And current software are not reactive enough to cope with it.

# What is your solution?

Our solution is to detect anomalies proactively in the Supply Chain in order to react as fast as possible and avoid costly disruptions.

We are building a software company, using machine learning to analyze internal and external data to predict potential disruptions.

For example: we can predict the likelihood of a supplier to not deliver on time and in-full based on in-track record and external like the financial strength of the supplier.

# Why are you the best team to solve this problem?

We think we can build the right company to tackle those problem and we have the right team to build this solution. Karim is a machine learning engineer, expert in dealing with big dataset and in production environment and myself, I have seven years of experience in the supply chain software industry at various vendors and positions.