Will JD Logistics Become An Ecosystem? (2 of 2) (Asia Tech Strategy – Daily Update)

In Part 1, I described JD Logistics (JDL) as being three things. A unique capability that parent JD can leverage in its retail and marketplace businesses. Note: This is basically the same playbook as Coupang and Amazon. A service business that does “integrated logistics”. A logistics network that may become an operating system or ecosystem. […]

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JD Logistics and the Dream of Smart, Automated Logistics at Scale (1 of 2)(Tech Strategy – Daily Update)

I have been thinking about JD’s logistics operations for like 4 years. I visited a couple of their warehouses. I toured their robotics laboratory. And I am always looking for their cool logistics videos (see here). But it’s hard to see the whole system. Most logistics is behind the scenes. But JD Logistics has just […]

Will Farfetch or Secoo Win in Luxury Ecommerce in China? (Tech Strategy – Podcast 38)

In this podcast, Jeffrey Towson discusses the competitive landscape between Farfetch and Secoo in the luxury e-commerce market in China. He argues that Farfetch has the global reach and brand recognition, while Secoo has the strong local presence and relationships with luxury brands. Towson believes that the winner of this race will depend on which company can execute its strategy better and adapt to the ever-changing Chinese market.

3 Ways AI Is Transforming Fashion: My Interview with JD Vice President of Cloud & AI (2 of 2)

This is a follow-up to my article on conversational AI with He Xiaodong at JD (article here, podcast here). I also spoke with Tao Mei, who is Vice President of Cloud & AI – and Technical support Vice President of JD. We talked about how AI was being used in fashion, which is a fascinating […]

3 Ways AI Is Transforming Fashion: My Interview with JD Vice President of Cloud and AI (Tech Strategy – Podcast 33)

In this podcast, Jeffrey Towson interviews the Vice President of Cloud & AI at JD.com about how AI is transforming the fashion industry. They discuss three key areas where AI is having an impact: personalization, supply chain management, and product development. For example, AI can be used to recommend products to customers based on their past purchases, track inventory levels and optimize shipping routes, and design new products that are more likely to appeal to consumers.