Artificial intelligence (AI) and machine learning technology is driving enterprises to re-evaluate their legacy Enterprise Resource Planning (ERP) software. In this digitalized competition era, the customized systems are not meeting the desired results. Organizations are looking for enhanced ERP software solutions to scale and grow their business models. The production consistency obtained from the running ERP services is missing in achieving the business goals. This is happening due to the frequent change in customers’ demands and requirements. In such scenarios, integrating AI and machine learning into the platform will capitalize businesses with new opportunities and solutions.
The fresh ERP systems would learn gradually by observing the behavior (patterns) and by modifying the default algorithm. The ERP models are expected to have flexibility and advanced customization. These would result in improving usability and performance of different departments in an enterprise.
challenges in the changing platform…
Every business is different and has its own distinct requirements. Therefore, developing a custom ERP solution is the basic need in the platform. Now, developing programs and algorithms that have self-learning capacity is ready to challenge the leaders in software development arena. Incorporating big-data or the data generated by legacy ERPs during the tenure with AI and machine learning require brainstorming programming exercises. This would empower the wisdom algorithms in accumulating knowledge and information quickly.
Earlier, a user-friendly system meant that it has an operator friendly interface. With the availability of virtual agents such as Apple’s Siri, Google’s Voice, Microsoft’s Cortana, Amazon’s Alexa, etc., businesses are expecting their ERP solutions to work similar to virtual agents. Especially; the manufacturing units, service providers, warehouses and logistics departments require software platforms that can guide and assist staff according to the situation. Developing algorithms that can self-learn, instruct machines, or react on voice-commands require out-of-the-box terminology.
Artificial intelligence (AI) and machine learning into enterprise resource planning development require a ‘much-needed insights’ during the integration process. Providing the real-time data obtained from running productions, for monitoring, require judgmental algorithms with the ability to track and traceability. Developing a web-based cloud ERP platform or custom software solution equipped with self-learning system has critical milestones to achieve.
Both artificial intelligence (AI) and machine learning are based on deep learning system. Empowering PLM, PMS, CMS, CRM, and ERP with AI and machine learning will require product configuration strategies for successful implementations.
Already, the software solution providers are burden with prevailing demands and rising competitions in the global markets. Changing configurations and designing new programming strategies according to the forthcoming are keeping software development firms occupied. Now, the need for integration of AI and machine learning in ERP development solutions would drive the IT industry towards an intelligence revolution. The upcoming platform-of-opportunity would pick-up the ‘Actual IT-Leaders’ from the crowd.
