Top 5 best cloud ERP software for 2023

Having software in the cloud is one of the main goals for companies that want to digitally transform their operations and take a step into the future.

According to Panorama Consulting, cloud implementations account for 44% of all ERP implementations. Definitely, your business cannot be left behind, but after knowing all the benefits that these systems offer, a more complex question arises:

What is the best option for my company?

Currently there are several models on the market from which you can choose and every year they offer new updates that make this choice more challenging. So, if you want 2022 to be the year of your company's technological boost, take these options into account:

Oracle ERP Cloud

This system formerly known as Oracle Fusion is notable for being designed with a solid enterprise foundation that supports companies in reaching their specific goals. It is ideal for companies looking to reach different geographic regions, as it facilitates consolidation and collaboration between different teams.

It has a flexible pricing approach that allows you to run your features at any time and only pay for those you really want to include. This also allows it to be a scalable solution capable of adding new features as your business grows and demands more.

It includes financial and accounting system management, procurement and project management, compliance and risk management, inventory and order management, along with analysis and reporting to improve decision making.

Netsuite ERP

This system also developed by Oracle includes tools ranging from financial management to purchasing, order and billing management, production and supply chain management to warehousing and fulfillment rate.

Its forte is the financial module, a robust combination of comprehensive accounting capabilities, automation and accuracy in billing procedures and business intelligence to drive the business using performance figures and industry-specific knowledge.

This is one of the most widely deployed ERP platforms today. But what are the differences between Oracle ERP Cloud and Netsuite ERP? Among other areas, Oracle ERP Cloud has greater flexibility as it is a fully cloud development, while Netsuite is a SaaS Cloud model. It also has a more robust partner network.


Although it is known as a project management software, it includes many of the functionalities that can be found in an ERP, such as linking different workflows, collaborative work between teams, invoicing tools, multi-currency support, reporting and financial modules.

As a complement, it includes a CRM that supports sales, reporting, predictive analytics, budget management and more. Its intelligent dashboard allows you to view ongoing and completed projects in summary form, as well as provide details with supporting files and documents.


Although its name is less known in Latin America, this is an invoicing platform that has been noted for simplifying global payment processing. It currently supports companies in a variety of industries, including business services, gaming, e-commerce, manufacturing and healthcare.

This platform is designed to streamline payment processing, whether your flow is invoice-based, fully digitized, or a combination of both. Tipalti has the tools you need to automate your payment processing for vendors, affiliates, trading partners, and more.

It also has currency selection, payment troubleshooting, risk management, fraud detection, international bank transfers, regulatory compliance, vendor management, and more.


This cloud-based system is designed to help companies intuitively manage their documents. It works based on Artificial Intelligence to collect, process and organize all types of transactional documents, such as purchase orders, invoices and claims, among others.

The collection of information is possible from different sources, such as e-mails, scanners and other management systems. It is equipped with a cognitive data capture tool that identifies unclear or missing information in the collected documents.

In case of inconsistencies, the system also automatically sends requests for clarification or correction to the document sources. It includes machine learning to facilitate tasks and recognize users' correction patterns.