In the vehicle parts sector, the volume of existing data can overwhelm many companies or, at least, need to dedicate more and more resources to try to have control over it and manage it efficiently.
In fact, it is really impossible to manually and continuously analyze thousands of reference numbers, equivalences and products. As a result, data and product managers spend more time and effort trying to manage the data than actually generating value from analyzing this data.
Really, we must assume that we are facing an enormous and complex problem. But what happens is that, the data and product analysis teams still get some benefits from the manual work they do, and this makes it difficult for them to see that they are missing out the productivity benefits that fully automated processes offer them.
In order for vehicle parts companies to be as efficient as possible, they should try to automate most, if not all, of the following tasks:
Detect and identify any OE/OEM reference number that appears on the market.
Create equivalencies between your products and the new OE/OEM reference numbers.
Find the equivalencies of all your competitors towards your products.
Detect and identify new products appearing on the market.
Continuously analyze the sales potential of the products.
All these tasks are the basis for optimal operation of these companies and fortunately they can be fully automated from systems based on data collection, processing and analysis.
Factory Data has invested in the development of a fully automated system, based on NEO code (c) technology, which makes it possible to fully automate all these tasks.
