Is Your Parts Data Mess Sabotaging Your Bottom Line?
Accurate and reliable parts data is crucial for Industrial OEMs to operate at a higher scale and with efficiency. Unfortunately, many OEMs struggle with managing their parts data which is scattered across various platforms/sources. This problem is compounded by mergers and acquisitions, which can lead further to inconsistencies/inefficiency and quality deterioration.
Why is clean parts data important for OEMs?
Pricing consistency
When your parts data is clean, it helps you keep prices consistent. You can easily spot and combine duplicate items, which makes it easier to create bulk orders and big contracts. This means you can offer better deals!
Find the Right Parts
Clean parts data helps companies find the right parts for their products. With accurate information, you can make sure you’re using the best parts in the right places. This means fewer mistakes and happier customers!
Streamline parts ordering process
Having clean parts data makes ordering and delivering parts much easier. You’ll have all your information in one place with single source of truth, which helps you save money and work more efficiently. Less hassle means more time to focus on what really matters!
Improve the quality of products
With clean parts data, you can spot potential problems with parts before they go into production. This helps you avoid defects and create higher-quality products, making your customers even more satisfied!
Comply with regulations
Clean parts data also helps you follow the rules and regulations. You’ll have the information you need to keep track of your parts inventory, which can help you avoid costly fines and penalties.
Make better decisions
Clean parts data gives you accurate and up-to-date information about your inventory. This helps you make better decisions, improve your operations, and create even better products. By keeping your parts data clean, you can boost your business in many ways!
What do you get with Entytle?
Unifying variations of vendors nomenclature
Mining multiple data sources for parts data
Standardizing data formats
Matching and clustering based on relevant features
Entytle’s Data Preparation services to unify, cleanse,
de-duplicate, classify, enrich, and augment your Parts data.
