CRM table
Last updated
Last updated
A CRM system is a service for automating business processes (CRM stands for Customer Relationship Management). It is a web service or program (mobile application) with various modules designed to solve specific tasks. In our project, we use a CRM system to facilitate interaction between our customers and clothing production, allowing consumers to directly track the sewing process.
The daily updated Item Margin Report provides current data on financial performance for each clothing category featured in the NFT. Each row in this table is a product card, the information of which will be displayed on the project website.
In the table, you can set up the display of necessary NFTs using filters:
Rarity
NFT ID (sequential number of the NFT in the collection)
Wallet ID (HEX of any wallet)
This table provides information necessary to make informed investment decisions about buying and selling NFTs. It allows you to predict potential profits based on the statistical data presented above.
Daily income provides users with detailed information about the NFTs stored in their wallets and calculates their personal income, taking into account all relevant factors, including: the time they have owned the NFT, the number of copies of the NFT, the amount of products sold, and other significant parameters
When you log in to your Personal Account, you need to enter your Wallet ID.
The personal account provides the opportunity to analyze both your own financial indicators and the data of other users. Entering a address allows access to the necessary information, which contributes to making informed investment decisions based on objective data
The data presented in the tables is dynamic and may change due to NFT operations such as trading, listing for sale or auction, selling and breeding. All changes will be reflected in the current table data. Data will also change due to changes in the cost of goods and other factors that affect price. The project assumes all costs related to unforeseen circumstances.
If you encounter any errors while working with the table, please immediately notify the project team of the issues by contacting the support team.