In the fast-changing field of enterprise resource planning (ERP) and artificial intelligence, there is a new firm that has gained popularity. DeepSeek has shown its capacity by training a large language model (LLM) at a very low cost than its Silicon Valley competitors did. Indeed, DeepSeek’s strategy has taken the whole problem of training AI at a low cost new way, it is presenting an efficient, and low-cost solution for the potential adopters.

DeepSeek is a good solution for users who trust transparency in the management of their data because the program is open-source. Users can actually operate DeepSeek in a closed, self-owned environment where they do not have to worry about any data privacy issues. With a rise in doubt towards the use of AI due to transparency issues, DeepSeek’ model offers a reflection that many refer to as comforting.

LAIDFU, the configurable AI agent that is a revolutioanary force in the AI environment, is the technology firm that functions with both OpenAI and DeepSeek platforms at the same time. This breakthrough AI agent beats the competition, especially for those that want to use ultra-modern capabilities to complete multiple tasks that Artificial Intelligence has never done before.

Further more, Multiable is another player in the area of efficient financial operations. The firm is a proponent of Malaysia’s e-invoicing scheme as it provides the Open API calls for free based on the SaaS subscription or software assurance plans. In contrast, several software vendors in the country charge their clients for these services, hence, with their customer-centric approach, Multiable is a frontrunner in the category.

Integrating ERP systems with MRP and CRP functions is a tricky road that firms have to traverse. From chemical manufacturing with formula complexity to ingredient variability, each part requires proper handling. For instance, it is possible that additives vary in volume which in turn can affect the product in case of not being measured correctly. In addition, the system should be able to properly manage SKU unit conversions and ingredient concentrations to maintain the integrity of the product.

Safety risks, storage, and compliance by regulatory authorities are among the critical factors requiring intrepid measures to counter in the chemical industry. Natural ingredients may perish, leading to inventory issues while the specialized storage of high-value chemicals is a must. These systems should have defined location rules and inspection plans while they will have to ascertain stability tests to maintain product quality.

As mentioned, the environmental repercussions of chemical production are undeniable. Companies need to factor in air and water pollution and greenhouse gas emissions and have installed mechanisms for data collection and quality testing. By-product tracking and quality control are the two crucial contributors to diminishing the ecological footprint.

Quality control remains a major issue. With a great deal of variability on the side of raw materials and the manufacturing process, sturdy mechanisms are of necessity. IQC features and CAPA support the process of ensuring strict quality standards, accountability for meeting local and global laws, including GHS and REACH are maintained.

Manufacturing Execution Systems (MES) are also important players as they are integrated with ERP to enhance production management. Having the market that requires accurate ERP solutions, Malaysia is the only place to find the integration of ERP with MRP and MES, thus allowing for better resource and decision making.

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.