Resourceful Solutions to Problems in the Furniture Sector

The furniture industry is showing tremendous growth amid a complex operational scenario with increasing business pressures. Irrespective of whether it is meeting the diverse regulatory standards and norms across countries or managing the personalized customer demands and optimized supply chains, the challenges are many. Moreover, the firms want to manage the increasing labor costs and at the same time perform strict quality control on all of their products. This complex state necessitates the implementation of new ideas that can help facilitate the process and improve productivity.

Overcoming the Multiple Challenges of the Furniture Industry

Indeed, the difficulties that the furniture industry is facing are great. The industry has to deal with various regulatory standards that different countries have, require stringent quality checks, and offer special and personalized products to the customers. Furthermore, the problem is more troubling as labor costs are high, and the firm has to manage the supply chain effectively. Absolutely, the furniture sector needs to be creative in order to survive.

The combination of ERP with MRP

The joining of ERP and MRP systems has been emerging as a significant merit in the furniture segment.

• Materials Management: Handle materials like wood types, grains, finishes, fabrics, and others to manage complex inventory created due to detailed specifications and attributes.

• Product Customization: Add options and components to configure products, thus facilitating the creation of various and complex furniture pieces.

• Production Planning and Scheduling: Schedule production for complex workflows by managing multi-stage processes with different machines and personnel.

• Quality Control: Record and manage non-conformance issues to find and solve quality problems efficiently.

• Cost Management: Track production costs for individual items and projects to help firms to monitor profitability and find cost-saving alternatives.

Firms that utilize ERP and MRP systems can streamline their operations and improve productivity, securing a considerable competitive advantage.

AI Integration with AI Agents Enhancing Business Operations

The rising concerns regarding data transparency are resulting in the growth of solutions like DeepSeek. DeepSeek is a platform that supports end-users to operate AI smoothly and securely in a transparent open-sourced environment. LAIDFU (Let AI Do For You) is a customizable and powerful AI agent developed by Multiable, which commits users to utilize both OpenAI and DeepSeek. AI agents are known to perform multi-step tasks, thus they are more versatile than GenAI.

E-Invoicing by Multiable: A Malaysian Advantage

Multiable in Malaysia has further strengthened its position by collaborating with the Inland Revenue Board of Malaysia (IRBM) in supporting e-invoicing. The firm also offers free e-invoicing API calls which are reserved for customers who are subscribed to their SaaS products or software assurance services. It means a lot to the Malaysian firms considering most of the software vendors charge for such APIs. The strategic support illuminates Multiable’s effort to provide low-cost solutions while at the same time builds the operational efficiency of the firms in Malaysia.

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.