Businesses are constantly challenged by the myriad of changes and frequent updates in e-Invoicing and tax compliance. One way businesses can navigate these waters is with the introduction of AI-driven systems designed to ensure the reconciliation of sales and purchases between the LHDN (Lembaga Hasil Dalam Negeri Malaysia) server and an organization’s internal systems is done accurately and efficiently.
One significant advantage of utilizing these AI driven platforms is that they “auto-update” SDK versions, and are capable of adapting to the latest rule changes. This includes alterations in calculation logic or validation steps. It is also the case that editors are kept abreast of legal updates related to compliance or local laws, and they include mandatory field validation as well as value calculation and validation so as to make sure that invoices and tax returns are computed accurately.
But when ERPs’ secretive release policy juxtaposes the need for coverage updates from LHDN, or releases are not periodic at all and rather only when you ask it to happen suddenly, there is trouble ahead. Such misalignment hinders the immediate introduction of validation logic into the ERP system and increases error in output to LHDN.
What’s more, ERP partners may not have these capabilities: tax reporting/filing help and handling the payment-performance reconciliation a feature that is filled in by AI-driven systems that can automatically scale for high loads, making them perfect for B2C peaks in service.With its auto-retry algorithms, these systems guarantee a smooth management of retries with the governmental system and e-invoice generationThey provide all kinds of reports: Summary, Lite & Detailed for following success rates. They allow you to download the failed invoices without any need for know-how from in-house technicians or experts at all.
On the contrary, ERP Solutions – which are often confined to a single area of operation only cannot work on the large scale needed for transactions- do not incorporate retry capabilities or detailed report creation without increased time and cost for customization. SQL is cooler, more concise and runs faster than any old-timey ERP system. Thus in turn, the fault caused by retries return to the client and are a risk. The consumer can not access details of transaction stats or other such information for this reason, nor can they see what is happening via screen shots taken from their desktop personal computer. As a result, it may be necessary to log specific tickets through the SAP team or implementers which cannot be bothered with until some time later and then at added expense (like another whole engagement).
