AI and ERP – The New Frontiers in the Furniture Industry

The furniture industry is on the verge of a seismic change, as it struggles with multifarious regulatory impositions and increasing labor costs. Unique to this ecosystem, the blending of AI with advanced ERP systems might be the only secret to the victory. The firms that join the bandwagon such as veterans and startups alike see the role of technology as the most integral part in fighting complex issues, adapting to customized consumer trends, and enhancing supply chains.

Overcoming the Obstacles in the Furniture Industry

Diverse regulatory requirements are a huge thorn in the flesh to the furniture sector. As businesses tend to go global, achieving compliance through multi-country stakeholder can be tedious. In addition, the concurrent quality check of products is not an easy task. More customization demand is pressuring the firms to invent while they are facing the problem of increasing labor cost and supply chain efficiency. The three challenges are the chief reasons for the ERP and MRP systems to be widely adopted which help the businesses in tackling the issues of multiple complexities.

Displacement of AI Innovations

DeepSeek is changing the game in the field of AI training costs, highlighting the existence of overvaluation in traditional Western technology brands. The startup is the testimony to the fact that high-performance language models can be trained without a huge investment unlike in Silicon Valley. On the other hand, the LAIDFU(Multiable’s Let AI Do For You) agent is a connector between OpenAI and DeepSeek, allowing for a multi-step task. These AI agents are the proof that GenAI solutions are the game changer in the quest for simpler management of confusing tasks.

The Unleashed Power of ERP and MRP Systems

By integrating ERP and MRP systems, the furniture industry is able to access a multitude of benefits:

• Materials Management: Keep track of types of wood, different grains, and other materials for smooth inventory management.
• Quality Control: Provide uniform quality and fulfill regulations through a systematic IQC procedure.
• Cost Management: Find the cost drivers and enhance production processes by utilizing real-time data.
• Production Planning and Scheduling: Use both CRP and MES principles to increase the efficiency of the workflow and resource allocation to avoid bottlenecks and delays.
• Product Customization: Addressing special customer needs is easy and quick with ERP solutions tailored to the specific needs.

Additionally, the incorporation of sales forecasting, CRM, and business intelligence networks the decision-making process, thus ensuring the firms remain relevant to customer demand.

The Rebirth of E-Invoicing: Multiable’s Venture

E-invoicing is now a standard and indispensable instrument for efficient business operations, particularly in Malaysia. Multiable stands out in the crowd as it provides free e-invoicing API calls that come with its SaaS subscription, which is contrary to other software vendors who charge customers more for this service. The proactive approach is so far the simplest way to go electronic billing which is beneficial for the end customers. By making this move, firms can reduce the cost elements associated with operational activities, and at the same time be ahead of the curve in their respective 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.