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Winner Technology Co., Inc. (汇纳科技, SZSE ChiNext 300609) — 汇客云 offline-commerce data platform — Camera-captured offline shopper-flow data from Chinese shopping malls and brand stores, produced by the company's own AIoT device network: raw visit counts and Re-ID de-duplicated unique visitors, average in-mall wandering duration, cross-camera trajectory reconstruction of shopper routes, pass-by versus store-entry counts, in-store dwell and product/fixture heat, plus a commercial digital-base reference layer covering trade areas, mall profiles, tenant/brand libraries and internet and survey data. …
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Camera-captured offline shopper-flow data from Chinese shopping malls and brand stores, produced by the company's own AIoT device network: raw visit counts and Re-ID de-duplicated unique visitors, average in-mall wandering duration, cross-camera trajectory reconstruction of shopper routes, pass-by versus store-entry counts, in-store dwell and product/fixture heat, plus a commercial digital-base reference layer covering trade areas, mall profiles, tenant/brand libraries and internet and survey data. Coverage stated in the report: 2,500+ malls, 1,000 brands, 160,000+ stores, 30 billion+ person-visits analysed per year, and modelled footfall forecasts for 8,000 shopping centres above 30,000 sqm.
From 11 yearsAsset class EquitiesTickers 300609.SZ · 001979.SZ · 0960.HK
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Winner Technology Co., Inc. (汇纳科技, SZSE ChiNext 300609) — 汇客云 offline-commerce data platform — Camera-captured offline shopper-flow data from Chinese shopping malls and brand stores, produced by the company's own AIoT device network: raw visit counts and Re-ID de-duplicated unique visitors, average in-mall wandering duration, cross-camera trajectory reconstruction of shopper routes, pass-by versus store-entry counts, in-store dwell and product/fixture heat, plus a commercial digital-base reference layer covering trade areas, mall profiles, tenant/brand libraries and internet and survey data. …
Hg-news offers (Alternative, Geospatial, Reference) — 30 billion+ person-visit analyses per year across 160,000+ stores, plus a forecast panel covering 8,000 shopping centres and the full trade-area/mall/brand-library reference layer; in raw capture terms this sits on a multi-year mall video-analytics archive.
The report names consultancies and public mutual funds as the intended next beneficiaries, which maps to: listed-mall-operator and retail-brand revenue proxies and same-store-sales forecasting for equity research, national consumer-demand nowcasting, pre-opening site selection and store-network planning, rent-setting and tenant-mix optimisation, brand health and conversion benchmarking versus competitors, and computer-vision model training for indoor pedestrian detection, tracking, Re-ID and crowd counting
The data is with 11 years of history.
Coverage spans China/HK, US, Other; IT Consulting & Other Services, Retail REITs, Personal Care Products; alternative, geospatial, reference; equities.
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