STEP 1: Obtain an Authoritative Legal Entity Identifier (ALEI)
Find and Register your ALEI at www.ealei.org
Having an ALEI will show your customers and trading partners where your company is legally registered and allow them to see the registration certificate. That is a big advantage to them related to meeting “know your suppliers” laws and regulations. Also, obtaining ALEIs for your customers and trading partners is a great way to protect your company and ensure compliance. The ALEI app is located at www.ealei.org.
STEP 2: Obtain a SmartPrefix for your company
ISO 8000-115 Quality Identifier for Products and Services
SmartPrefixes make it easier for your customers and potential buyers to find the products and services you make when they search the Web. Also, SmartPrefixes create a definitive, branded identifier for products and services that your company and your customers can use for their digital supply chain and in their databases. The SmartPrefix app is located at https://www.smartprefix.org/smartprefix.
STEP 3: Add your SmartPrefix to your products and services
Solution to DMS and Enabler of Smart Manufacturing
After your company obtains a SmartPrefix, you should link it to all of your company's part numbers in your Web catalog using the standard protocol defined in ISO 8000, which is SmartPrefix:PartNumber.
STEP 4: Create standardized product specifications that conform to ISO 8000 and ISO 22745
Low cost and permanent solution to data quality
Create standardized product specifications for your company's products and services that conform to ISO 8000. There are a number of ways you can do that: You can create them yourself using the eSDFx Builder at https://sdfxbuilder.com. You can also hire us to assist you with creating the specifications. In addition, you can also use these methods/tools to create a standardized buy side catalog in cooperation with your suppliers. It’s easier and cheaper than you might think, and it’s a lot cheaper than data cleansing. Also, ISO 8000 is a low cost and permanent solution to data quality. Data cleansing is an expensive and never ending solution.