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A 9-to-5er uses AI to semi-automate product selection and image production, floods listings onto Russia's Ozon marketplace, and drives orders with off-platform index ads — a two-layer traffic model.
RMB 400K+/mo GMV across all stores
The core move is picking the platform by “blue-ocean score” — Ozon has 60.5M buyers against just 350K sellers, a score of 172 (Taobao scores 10). Beginners run no paid on-platform ads and no fake orders: the “70/30 play” puts 70% of the effort into off-platform index ads, which then pull on-platform organic traffic along behind them.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
Bilibili creator 薛优秀很努力 tells this as a comeback story from unemployment, but unpack it and it's far more than motivational content — it's a replicable methodology of “pick the right platform + cut costs with AI + drive traffic from off-platform.” He didn't start on Taobao or Amazon, where everyone is fighting for scraps. He worked backwards, hunting for a platform that hadn't been ground down yet, and landed on Russia's Ozon. His reasoning is hard-nosed: Ozon has roughly 60.5M buyers against just 350K sellers. He invented a “blue-ocean score” metric (buyers ÷ sellers) that comes out at 172 for Ozon, versus 10 for Taobao on the same basis — meaning the same unit of demand, spread across sellers, lands more than ten times as thickly on each Ozon seller. With the platform locked in, he used AI to semi-automate the two most labor- and cash-intensive parts of traditional e-commerce — product selection and image production. He has AI scroll web pages to filter for new listings and screen products, then hands the chosen products to AI to generate the hero image and detail page, cutting out graphic designers who charge hundreds of RMB per image. He lists through Ozon's zero-deposit channel, and instead of paid on-platform ads or fake orders, he uses off-platform index ads on a “pay only after an order lands” basis to get the first sales moving. Once the single-store model worked, he hired operators to clone it into a store group, then expanded sideways into Pinduoduo virtual-goods stores and Taobao custom software, stacking a multi-platform two-layer traffic matrix. His self-reported result: RMB 400K+/mo in combined GMV across the stores, and roughly RMB 27K/mo in profit from the two Ozon stores.
The acquisition decision here was made before a single product was chosen, by picking the platform on arithmetic.
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Data credibility: The creator 薛优秀很努力 shows March sales screenshots from his own dashboards across platforms (two Ozon stores at RMB 64K + RMB 45K, 24% margin; multiple Pinduoduo/Taobao stores, etc.) and states his profit verbally — so this is founder-reported (dashboard screens exist, but there is no third-party verification, and the amounts span a multi-platform store group). revenueMo takes his self-reported ~RMB 27K/mo profit from the two Ozon stores plus part of the other virtual-goods stores, conservatively recorded at the RMB 37K/mo level. All revenue figures are founder-reported or estimated by the video creator — unaudited.
The first order is paid for out of its own profit.
The turn is built into the 70/30 structure. Off-platform index orders create sales history, sales history creates on-platform ranking weight, and organic Ozon traffic starts arriving on listings that paid nothing for it — at which point the 30% side carries weight it did not have on day one.
His whole platform choice is an argument about this stretch rather than about Russia. He is explicit on the psychology: three days without a result and you doubt yourself a little, a week and you start wavering, a month and you come back angry at whoever recommended it.
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