At o9 Solutions, we are revolutionizing end to end demand, supply, inventory, transportation, and commercial planning. Let's have a look at the fuels value chain network. Starting with crude oil is extracted and transported to refineries.

Crude oil is then refined with the resulting product passing through different of transport and terminals before arriving at the customer location.

Here's an example to help show O9's approach to next gen supply planning and operations transformation.

Using our graph based technology, we create a digital twin of the colonial pipeline.

By using our next gen AI machine learning platform, o9 will sense and predict demand at each node along the pipeline. We can look closely at regions, terminals, and even tanks to predict what in tory might be needed at each terminal based on future demand.

This ensures that supply is delivered and demand is supplied in the most cost efficient way possible. Future events can be added to the horizon to ensure sufficient supply is in place, like the final of the national sports league or a large cultural festival that draw in lots of people in a specific period of time. Once the event has been added, our AI power technology processes all variables before suggesting a plan of action.

Certain products might be alerted to planners who can then run scenarios before approving a plan.

Other situations can also be modeled on the platform.

Let's say that the water level of the Mississippi is rising due to flooding in the Midwest. Which consequently removes the barge of operation as a mode of transport.

The platform quickly recalculates a rail route along with any additional costs and sends an alert to the planning team to make the approval.

The o9 platform can also show locations where third party terminals are being used to deliver difficult to supply demand.

Excess supply is then identified by the platform and suggestions are made to build additional terminals or tanks.

The o9 platform has identified that a certain product grade in Belgium will become inactive.

The platform identified this inactivity by using web scraping, which essentially means that the platform was able to scan online news articles to spot external factors that might the supply chain. Once this product has become inactive, alternative sources are identified.

France might be the cheapest but the platform has deemed Singapore as the most effective way to satisfy demand if shipped by vessel.