The work aims to study the packaging of furniture goods to solve such problems as low efficiency and high logistics cost in the packaging process of large furniture goods. With functional sofa as an example, the common packaging constraints of furniture goods were analyzed. A mathematical model for goods stacking with volume, weigh, placement direction and packaging sequence as constraints was built. An improved genetic algorithm was proposed to solve the mathematical model. The actual data of 45 pieces of functional sofa were used for packaging experiments. The results showed that the loading scheme obtained by the proposed algorithm was reasonable. The space utilization rate of the container was more than 75% under the condition of satisfying the packaging constraints of furniture goods. The proposed algorithm can rapidly get a rational packaging solution to the packaging of large furniture goods, which provides a solution to the packaging of goods in complex situations.