Can Retail Giants Like Pang Donglai Displace Traditional Liquor Distributors?

The piece begins by framing the current Chinese liquor distribution model as analogous to the multi‑tiered, price‑inflating system of the 1990s in Western markets, where manufacturers control pricing and brand narrative through provincial, city, and county agents.

It then introduces the "Pang Donglai + liquor" model as a disruptive, digitally powered alternative. By leveraging massive terminal data to build precise consumer profiles, Pang Donglai can define product specifications, set prices, and directly negotiate with manufacturers, effectively shifting channel power from distributors to a data‑rich retailer.

Concrete evidence is provided: in 2025, Jiugui Jiu’s total revenue fell to ¥11.08 billion, a 22.17% YoY decline, with its distributor network shrinking by 227 outlets (17% reduction). Despite this, Pang Donglai’s partnership contributed 17.66% of Jiugui Jiu’s sales, purchasing ¥1.96 billion of product and launching a co‑branded 200 yuan “Jiugui Jiu · Freedom Love” offering.

Historical case studies reinforce the trend. In 2020, Pang Donglai partnered with Baofeng to create the mass‑market “Dui Jiu” (54°) and later 50°/46° variants. The subsequent “Freedom Love” line, priced at 70–78 yuan per bottle, reportedly achieved daily sales of 3,000–4,000 cases (up to 7,000 on holidays) and generated nearly ¥5 billion for Baofeng, with a disclosed margin of about 15.87%—far below the typical 70%+ margins of standard Jiugui Jiu products.

Analysis of the model’s mechanics shows that retail‑driven C2M (consumer‑to‑manufacturer) enables short, transparent supply chains, eliminates multi‑level mark‑ups, and allows retailers to set lower margins (≈15%) while achieving high turnover. The article notes that such depth of customization also extends to production standards and quality control, likening it to Apple’s requirements for its contract manufacturers.

However, the article warns of significant hurdles: retailers must possess robust data platforms, digital supply‑chain coordination, and strong brand trust. The model faces risks such as price inversion, distributor pull‑out, and the need to align profit expectations between retailers and manufacturers. Industry insiders suggest that only a few head‑room retailers and liquor producers will successfully execute such partnerships, rather than a wholesale industry shift.

In conclusion, while the Pang Donglai approach demonstrates a powerful proof‑of‑concept for data‑enabled, retailer‑centric channel transformation in the liquor sector, its scalability remains uncertain, and its ultimate impact on traditional distribution will depend on broader market adoption and the ability of retailers to sustain the required digital infrastructure.