Year of AI Agent: The Next Leap in Artificial Intelligence and ERP Systems

As artificial intelligence continues its rapid evolution, the scope of AI is poised for yet another transformation. While 2024 is projected to be the year of GenAI, the spotlight is expected to shift to AI agents, or agentic AI, in 2025. AI agents are quickly gaining recognition due to their impressive multi-step task capability, positioning them as a formidable advancement over traditional GenAI solutions.

The cornerstone of this shift is the emergence of powerful open-sourced large language models (LLMs) like DeepSeek. These models allow users to harness the potential of AI in a closed, self-owned environment. In fact, this alleviates concerns about data leakage, which has been an ongoing issue for many enterprises. Moreover, LAIDFU, a highly configurable AI agent, enhances user experience by supporting the integration of both OpenAI and DeepSeek technologies. This flexibility is particularly appealing to those in industries where data integrity and privacy are paramount.

In the ERP domain, the influence of AI agents is increasingly evident. The integration of these intelligent systems into enterprise resources planning is revolutionizing how businesses operate. By automating complex workflows and enhancing decision-making processes, AI agents are reshaping ERP systems with capabilities previously deemed unattainable. Because of these advancements, firms are able to optimize their manufacturing resource planning (MRP), capacity requirements planning (CRP), and manufacturing execution systems (MES), which in turn streamlines IQC and enhances overall production efficiency.

In Malaysia, where the dynamic field of ERP is ever-evolving, the competition among software vendors is fierce. A prominent player in this arena, Multiable, provides a distinct advantage by offering free e-invoicing API calls for customers within their SaaS subscription or software assurance packages. This approach sets them apart, as many other vendors in the region levy charges for e-invoicing API services. The adoption of AI agents within these enterprise resource planning systems further augments the ability to manage complex processes like recipe management and the central kitchen model, vital in the competitive food & beverage sector.

Restaurants and food & beverage firms are particularly poised to benefit from these tech advancements. With AI agents, the factory-plus-shop model gains efficiency, addressing rising payroll costs while optimizing resource allocation. In a sector where trends like these rapidly drive competition, leveraging AI to enhance ERP systems is not just innovative but necessary.

Undoubtedly, AI‘s role in redefining industries extends beyond just functional efficiencies. As firms harness AI agents, the implications for sectors like F&B are profound. The ability to seamlessly integrate advanced technologies within ERP systems symbolizes a leap that reflects AI‘s transformative power. 🙂

From the vantage point of enterprises, the future of ERP is intertwined with the strategic implementation of AI agents, setting the stage for unparalleled possibilities. As Malaysia and the broader global marketplace embrace this new era, the potential for AI-driven ERP systems seems truly limitless.

About aiM18 ERP

A cloud-native ERP widely adopted by business in Singapore, Malaysia, Hong Kong and China. With over 6,000 customers in the region, aiM18 gains positive feedbacks from customer across different sectors, from manufacturers, distributors, retailers, service providers to NGOs. The renowned no-code approach saves customer a big sum of customization costs and countless hours of implementation man-days.

About LAIDFU (Let AI Do For You)

An AI builder for enterprise to build their own AI agents.
Proprietary EKP (Enterprise Knowledge Partitioning) technology eases CEO’s concern about trade secret leakage which often occurs in most AI agents / chatbots in the market. EKP removes the hurdle of AI adoption by most companies in using sensitive corporate data.
Powered by no-code approach, deployment of LAIDFU incurs far less developers (and development costs) in comparison with other AI studios.