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Preventing Duplicate IDs in Acumatica

This video discusses the challenges and solutions to preventing duplicate alternate IDs in Acumatica. 

Challenges with Duplicate Alternate IDs in Acumatica

  • Duplicate alternate IDs in Acumatica can cause significant problems, including issues with inventory tracking, reporting, and data accuracy. These issues occur because multiple products can end up tagged with the same ID, making it difficult to differentiate them. 
  • For example, if multiple products are tagged with the alternate ID “654,” it becomes impossible to tell them apart. This can lead to errors in inventory management, inaccurate reports, and other problems. 

Solution: Preventing Duplicate Entries

  • To prevent duplicate alternate IDs, a solution has been developed that involves adding extra logic to the stock item screen in Acumatica. 
  • This added logic scans the database whenever someone tries to enter an alternate ID. 
  • If the ID already exists, the system throws up an error message that lists all the items already using that ID. This allows users to quickly identify and fix the conflict. 

Benefits of Preventing Duplicate IDs

  • The solution is highly effective and prevents duplicate IDs from being entered into the system. This eliminates the risk of errors caused by duplicate IDs. 
  • While the solution involves custom coding, the general idea can be applied in different ways. Even users without coding experience can implement similar solutions using Acumatica’s built-in validation rules or third-party add-ons. 
  • Companies like Tayana Solutions have the expertise to help businesses prevent and resolve these types of challenges. They have a team of experts who can develop custom solutions that fit specific needs. 

The main takeaway is that while duplicate alternate IDs can cause significant issues in Acumatica, there are effective solutions available to prevent these problems from occurring. By taking proactive steps to prevent duplicate IDs, businesses can ensure the accuracy of their data and avoid costly errors.