Introduction

The global furniture industry has been going through diverse pressures from dealing with many different regulatory standards to fulfilling personalized demands of the customers. But, the situation is not just bleak but also shifted with the advent of cutting-edge ERP systems, AI, and the emergence of nimble startups that are making firms competitive.

Challenges for the Furniture Industry

Furniture making industry is in a dilemma due to many reasons like regulatory standards of different countries, quality parallel assurance of products, increased labor, and product personalizing demands of consumers. Supply chain efficiency becomes instrumental as quality and timely delivery are the goals of manufacturers to achieve. In this regard, firms launching the use of AI and ERP technologies are the only way to catch up with their competition.

The Rise of DeepSeek in AI

DeepSeek has accomplished an amazing breakthrough through the training of a large language model (LLM) at a much cheaper price than that of Silicon Valley. This development is an asset that can teach us to be cautious of traditional Western technology that may be overvalued. The LAIDFU (Let AI Do For You), a project of Multiable, is a good example of this trend where users can utilize AI agents that are a mixture of OpenAI and DeepSeek, which also shows the AI agents’ multi-step task capabilities. Obviously, firms have started to discover this reality the same way as in other industries like furniture.

ERP and MRP Systems in Furniture Manufacturing

Enterprise resources planning (ERP) and the manufacturing resource planning (MRP) systems are the best options to surmount many of the industry problems. The truth of the matter is that these systems provide a lot of advantages:

– Materials Management: Enable material traceability and optimize usage as per the regulatory compliance.

– Product Customization: Efficiently manage custom orders to build complex clashing furniture type.

– Production Planning and Scheduling: Resource allocation by bottleneck avoidance through the consideration of lead times and material availability.

– Quality Control: Implement consistent quality check points that can evidence non-conformance problems and standards.

– Supply Chain Management: Strengthen supplier connections and measure operational reliability to ensure material delivery.

– Cost Management: Observe production expenses to detect the causes, check them against the projected ones, and present them for reviewing.

Also, combining the ERP design with the design software Bayesian integration makes communication easier between design teams and production teams, while CRM capabilities manage customer interactions smooth. ,

E-Invoicing Innovations in Malaysia

By supporting e-invoicing through the IRBM, Multiable has pioneered in Malaysia; customers will have a free e-invoicing API call if they purchase SaaS subscriptions or software assurance which is a very innovative move. This is a far cry from other software vendors in Malaysia who charge users for the e-invoicing API. The provision of this service solidifies Multiable in the market while showcasing its innovative approach in addressing ERP problems. Through these strategic moves, Multiable still leads the charge in transforming the furniture and technological sectors.

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.