Welcome to our Green Promise

To date, we’ve identified millions of surplus materials waiting to be rehomed.

Join us in our commitment to making a positive change.

The Challenge to Overcome

In the world of industrial manufacturing an unfortunate reality persists: vast amounts of surplus materials accumulate in companies' inventories.

This excess can be attributed to two main factors: unstructured data management leading to poor materials identification and the inability in most cases to trade these materials once they have been identified, both of which are costing the planet.

With industrial manufacturing companies struggling with unstructured, attribute light and decentralised data, it becomes difficult to track, analyse, and optimise inventory use. Without a clear understanding of what is available, where they’re located, and their condition, organisations inadvertently end up with surplus stock. This lack of data visibility also hampers efficient decision- making, adding to the problem of overstocking.

A good example of this is the cost of downtime in relation to machine failure means that companies are justified in purchasing excess "insurance" spares, often simply using up their allocated budget, rather than basing decisions on any robust analysis. But not all these spares will be used, and when a machine is changed, or better preventative maintenance routines are introduced, this stock becomes surplus and often forgotten, even though it is perfectly serviceable.

The consequence of this surplus spare parts predicament is two-fold. Firstly, it incurs significant costs for industrial manufacturing companies. Valuable capital gets tied up in excessive inventory, draining financial resources that could otherwise be invested in innovation, research or sustainability initiatives. Secondly, the accumulation of unused materials perpetuates a culture of waste, exacerbating the environmental impact of manufacturing operations and hindering global efforts towards a net zero world and impacting ESG scoring metrics.

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