And I think on the back of the Hong Kong expansion, we are looking into potential investment opportunities in Southeast Asia. We are not currently in the feasibility study stage. We are in preparation for a potential rollout of our business across division. But right now we are still in the early phase of identifying opportunities and identifying potential joint venture partners in targeted countries in Southeast Asia.
Operator: Thank you for your question. [Operator Instructions] We’re now taking the next question and the next question from Michelle Ma from Citi. Please go ahead. Your line is open.
Michelle Ma: [Foreign Language] The first question is about our thoughts on AI Tech. So for smaller players, should we think about like first mover or early mover advantage or we should like follow the tech of those industry giants for AI tech’s consideration? So I just want to have a sense of the management’s thoughts on this issue? And the second thing is about the operating leverage. And we are seeing some deterioration in the operating leverage. But with I think a very promising net profit outlook for the whole year and for the second-half this year. So we’ll return to a path to continue expansion or we should pay more attention to the cost control? And how about the revenue growth outlook in the second-half? Thank you. [Foreign Language]
Ron Tam: Thank you, Michelle. I’ll take your questions. So the first question on AI. I think the way that we look at AI is we don’t really see as a first mover or second mover. I think the more pertinent question is for AI to really work for any particular company in the respective industry vertical, I think the key prerequisite is you have data in the platform. You have the right data in the platform to help you deploy AI technology to improve efficiency. So to that regarding what we have is we have over 17-years now of transaction data. And this encompasses pre-sales consultation conversations, because we have a real-time compliance monitoring system, as you well know. So we have a lot of daily conversations between our consultants and the end customers as data to be fed into AI training models.
We also have a lot of underwriting data. We have also claims processing data. As you understand, we have Xiao Ma Li Pay, the Xiao Ma Claim Service. So therefore we actually have accumulated a lot of this data. So all this is actually helping us to effectively train any, kind of, AI algorithms internally, so that we can potentially derive game-changing AI technologies to be deployed in-house. So I think that to the extent would be the answer to your first question. I think we have the network advantage to deploy AI, because we hold proprietary data within our ecosystem, within our platform. And hopefully over the next six to 12 months, we will be able to release to the market or to announce to the market some milestone achievements in this regard.
So in relation to your second question also, some expenses might have creeped up in the second quarter, but we still intend to maintain cost discipline very, very rigidly to the extent that the macro economy in China, as everyone is well aware, it’s still, were to be challenging, although overall it’s in a recovery mode. I think most industry participants remain cautious on the outlook. We do think that the overall business dynamics with respect to Huize continue to be very solid and resilient and sustainable as we have proven over the last few years now, time from COVID where everything needs to be happening online, and we have a natural advantage being an online native platform. And over the last one year or so, when Chinese economy has been negatively impacted by restrictions relating to COVID, leading to much dampening in consumer confidence and demand.
