29.09.2022

Code Your Own AI

Breakthrough

noun /ˈbreɪk.θruː/

Solved for good

arrow-right

Reduced warehouse space requirements

Optimal stocking decisions mean only relevant raw material gets stored in the warehouse

arrow-right

Reduced wastage from scrapped material

Scraping only the irrelevant material means the warehouse always have the required items

arrow-right

Decisions through a fully explainable AI

All the decisions taken by the AI are fully explainable and could be reviewed by a human operator

eyebrow text goes here

To scrap or not scrap?

The storage of raw material is expensive and only possible for a limited time and space. Filling the warehouse with material that is not needed results in higher inventory costs. Along with the costs, the complexity of storing and retrieving items from the warehouse increases as more and more (unwanted) material gets stored.

On the other hand, if a material is sent to the scrapyard when it maybe needed in the next weeks, this maybe cause unwanted increase in cost of production. Not to mention the increase in lead time and lost productivity.

500

fabrications per day are impacted

100

?? sqm restocked and reused

45

?? sqm of warehouse space freed up 

eyebrow text goes here

A fully integrated solution...

Restocking dimensions set based on simple statistics were not ideal and led to considerable financial disadvantages. In order to optimize material storage, our AI powered tool took a variety of factors into account that would have been impossible to do manually. Historic data, domain knowledge from the motivated engineers and business team and their open mindedness towards AI resulted in this success story. This project is a brilliant example of how AI and Data can be leveraged to minimize waste, improve sustainability, and help make the earth a better place.

Our tool decides whether or not a raw material should be restocked based on future demand for products and current as well as future stock of the raw material.  We achieve this by forecasting sales orders, and simulating an optimal allocation of orders on to raw materials. Easy to use interfaces for full explainability of the decisions of the tool.

Get started with AI

Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget.