Product Specialist – Supply Chain & BI
Geely Commercial Vehicles Group ⸻ 2022 – Present ⸻ Hangzhou, China
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Led the product design and implementation of an end‑to‑end supply chain BI platform
for commercial vehicles, digitising offline sales, order and demo‑car processes into
standardised workflows and dashboards.
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Built unified KPI dashboards covering order processing and vehicle delivery, giving
sales and operations teams real‑time visibility and decision support.
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Used data analysis to identify bottlenecks and drive process improvements across
planning, production and delivery.
Product Lead – Fresh‑Food Vehicle Platform
Songxiaocai ⸻ Jun 2021 – Oct 2021 ⸻ Hangzhou, China
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Owned the 0→1 build of a two‑sided mini‑app platform for fresh‑food vehicles, from
business requirements and product specifications to coordination with engineering for
launch.
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Designed a “production–supply–sales data map” BI product, transforming 100k+ daily
orders into heatmaps for procurement and capacity planning.
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Used A/B testing and funnel analysis to guide iterations, achieving 200% user growth
within three months and validating the product’s market and business model before the
company’s later shutdown due to funding failure.
Product Owner – Supply Chain (Inventory)
Dasouche (Used‑car Platform) ⸻ Jul 2019 – Apr 2021 ⸻ Hangzhou, China
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Led the B2B product for used‑car valuation, trading, matching and financing, covering
pricing, transaction, matching and delivery scenarios.
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Turned dynamic inventory allocation strategies into an algorithmic product, improving
inventory turnover by 25% and supporting multiple purchasing / sales business lines.
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Designed and implemented a delivery workflow system connecting registration, insurance
and commission, automating key steps and improving efficiency.
Product Owner – Logistics Systems
NetEase Yanxuan (E‑commerce) ⸻ Jul 2017 – Apr 2019 ⸻ Hangzhou, China
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Managed the full lifecycle of outbound logistics systems, coordinating procurement,
orders and logistics teams from requirements to go‑live.
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Translated complex business rules (cost, lead time, inventory) into dynamic warehouse
selection and dispatch engines, reducing logistics costs by 7%.
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Introduced flow‑based production in warehouses, increasing next‑day delivery rate from
26% to 50% and reducing quarterly costs by ~36M CNY.