Pinduoduo quietly increases its AI investment may lay out the intelligent transformation of cros

Recently, according to a report by First Financial, Pinduoduo has intensively posted a large number of artificial intelligence related positions on its recruitment website over the past month, including positions such as large model infrastructure architect, algorithm engineer, and multimodal algorithm engineer.

This means that Pinduoduo has not publicly disclosed any AI strategy before, nor released big language models or AI platforms like Alibaba, Tencent, Baidu, ByteDance and other peers, but in fact its AI layout in the e-commerce field has quietly started.

AI recruitment information reveals strategic direction
According to the job description released by Pinduoduo, AI architects will participate in building e-commerce models and collaborate with algorithm engineers to continuously enhance model capabilities; Multimodal algorithm engineers focus on exploring the application of AI in cross-border e-commerce scenarios, such as product understanding, attribute recognition, and AIGC content generation.

This may mean that Pinduoduo is organizing a dedicated AI R&D team and conducting model implementation attempts in domestic and cross-border e-commerce business scenarios, especially in the development of large models in the vertical e-commerce field.

At present, Pinduoduo has not responded directly whether it is developing AI vertical models for e-commerce scenarios.

The trend of e-commerce intelligence is accelerating
According to industry experts' analysis, AI technology is rapidly becoming an important tool for promoting cost reduction, efficiency improvement, and innovative business models in the e-commerce industry.

The era of AI e-commerce has just begun, which is both an opportunity and a challenge for everyone. ”Alibaba founder Jack Ma publicly stated at the end of 2023.

Especially in the field of cross-border e-commerce, AI can not only improve the efficiency of product content generation, but also accelerate the transformation of multiple links such as product listing, optimizing search recommendations, and achieving multilingual customer service automation.