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Bad data? Partium Data Optimization is here for the rescue!
Incomplete, outdated or duplicate data makes certain topics such as warehouse optimization, time & cost savings, increased sales,... extremely difficult. The results often involve reduced productivity, increased downtimes, wasted resources and customer dissatisfaction.
It's time to join the data revolution!
Warehouse Optimization
Having several different warehouses can lead to inefficiencies and chaos, resulting in spare parts duplicates, not knowing what parts are in the warehouse, not exactly knowing where in the warehouse the part is stored,… In addition to that, it is more expensive to have several warehouses for each location or workshop.
To consolidate many different warehouses into one professionally and centrally managed warehouse, however, you need to optimize your spare parts data. Technicians have to know in advance what part they are looking for, including the material number, so they can request it from the spare parts supply chain/warehouse teams.
Partium offers technicians a powerful, mobile AI search tool. After finding the right spare part. they can conveniently request it from the warehouse team, and have it delivered to the location where it’s needed.
Reduce spare part costs
Due to buying machines from different vendors, our customers on average had 10% spare part duplicates in their warehouses – without even knowing it. Partium helps prevent duplicates by finding out what parts are actually the same. It offers detailed spare part requirement information making the purchasing process easier. On top of that, Partium can also help finding different spare part procurement sources.
Overall, with Partium you can save warehouse, purchasing, and spare part handling costs.
Improved master data management
Partium can add valuable, additional information concerning the product lifecycle such as where has the spare part been purchased, what machine does it belong to, how to recycle it, can you still purchase it, or is it EOL, and logistic information such as dimensions and size to your master data.