When 1 Million Coolers Face a Pull‑Back, Dongpeng’s Winning Move Isn’t More Units
The beverage sector’s push to install over a million cooling cabinets is now colliding with a wave of terminal pull‑backs, exposing a KPI‑driven “data black‑box” problem, low per‑cabinet ROI, and a shift from sheer quantity to digital‑enabled, revenue‑sharing models.
In 2025 the beverage market entered a seasonal peak before the official high‑season, and two opposing forces began to clash at the terminal level. Dongpeng Beverage announced a plan to deploy at least 200,000 new coolers in 2026 and to exceed one million units within three years, already holding more than 500,000 units at the end of 2025 and covering over 4.5 million retail points. By contrast, an internal industry source shows that a leading competitor set a 150,000‑unit target last year but only achieved about 100,000 units, a completion rate of under 70 %.
The traditional “iron rule” – “who owns the cooler owns the terminal, who owns the terminal owns the market” – is breaking down. The rule’s premise, not the cooler’s intrinsic value, is losing effectiveness. Physical space for coolers in typical 200 m² stores is already saturated (four or more coolers vertically, three or more refrigerators horizontally), and a 400 m² supermarket in Henan can host 18 different brands’ coolers. When space reaches zero, competition shifts from incremental to stock‑based, making per‑cabinet output the only viable lever.
Most brands cannot calculate the output of each cooler. The current management loop ends with a photo upload, monthly display fee payment, and electricity subsidy – without any data on door openings, SKU placement, or sales velocity. Such “data black boxes” consume fixed costs while delivering no insight into whether the cooler is actually selling product.
Traditional incentives have turned into a systemic KPI‑cost mismatch. During the 2025 cooler war, some brands offered 100–200 CNY per unit as a reward and fined 400–800 CNY for missed targets. Salespeople, to avoid penalties, placed coolers in unsuitable venues (e.g., fishing shops, recycling stations). Audits found roughly 5 % of coolers were installed at points that sold no beverage, often repurposed for grain storage or resold on second‑hand platforms for as little as 300 CNY, far below the 1,500 CNY purchase price.
When a cooler is treated solely as a channel‑marketing expense, it becomes a sunk cost; when it is treated as a digital asset, it must generate measurable value. The gap between these definitions translates into an estimated 300,000 uncontrolled coolers and industry‑wide losses of tens of billions of yuan.
The long‑standing “fixed display fee” model assumes that presence guarantees sales – a premise that held in a demand‑growth era but no longer does in a mature, stock‑driven market. Store owners receive a flat 150 CNY display fee for three shelves, yet they can earn an extra 8 CNY per case by selling a competitor’s product on the bottom shelf, providing little incentive to push the brand’s own SKU.
Industry data shows that the “purity” of a cooler (the proportion of space actually used by the brand) is often overstated: brands aim for >80 % purity, but field observations suggest 60 % is unrealistic and 40 % is typical. A standard single‑door cooler costs about 1,500 CNY to purchase; total lifecycle cost (transport, installation, electricity subsidy, display fee, sales rep commission) exceeds 5,000 CNY, locking brands into three‑to‑five‑year fixed expenses regardless of sales performance.
Dongpeng’s “five‑code integration” (covering bottle, box, pallet, warehouse, and logistics codes) has digitized product traceability for ten years, accumulating 1.9 billion consumer‑behavior records and 4.2 million terminal data points. It reduced diversion rates from 15 % to below 3 %, lifted promotion reach from under 50 % to 98 %, cut per‑bottle marketing cost by 60 %, and achieved a promotion ROI of 1:7.3. However, the system only answers “did the product sell?” and not “why didn’t it sell?” because it cannot capture in‑store “scene” data such as door‑open frequency, shelf‑level SKU placement, or competitor positioning.
To break the dead‑end loop of “buy cooler → deposit → fixed display fee → photo upload → subsidy,” the article proposes moving from physical bundling to a revenue‑sharing model. Smart coolers equipped with sensors can record door openings, temperature curves, and shelf images, enabling AI‑driven analysis of placement purity and sales contribution. With such data, the fixed display fee can be transformed into a dynamic, sales‑linked share, aligning the store owner’s income with actual product movement.
Early pilots by digital service providers that close the “deployment‑display‑sales‑cost” loop have already cut false‑deployment losses by over 80 % and lifted average per‑cabinet sales by 25 %.
In conclusion, the real question for channel managers is no longer “how many coolers to deploy,” but “how many of the existing coolers can you prove sold a measurable amount last month.” Without data‑driven visibility, additional deployments will not change the outcome.
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