"The essence of business problems is 'path optimization under aligned goals,' not an either-or choice."
When Pang Donglai's news of a "20,000 yuan per-person visit fee" broke, discussion in the retail industry quickly split into two camps: supporters saw it as a tool to "filter for like-minded learners and purify the learning ecosystem," while skeptics pointed directly at the problems of "too high a threshold that excludes small and micro businesses, and insufficient cost transparency."
01 Model Comparison: Why Does the Divergence Arise?
(1) The Past Model (free assistance): aligned with the "pass on the essence" consensus, but off the "efficiency" consensus
When Pang Donglai assisted a Yonghui Supermarket store in 2025, it adopted a "1-on-1 on-site restructuring" model: it assigned three executives to the store for three months and implemented "pay raises (frontline staff monthly pay raised from 4,500 yuan to 6,000 yuan) + service upgrades (added an 'out-of-stock urgent purchase' service)," ultimately growing the store's sales by 210% and labor efficiency by 58%, successfully conveying the essential idea of "employees first."
But this model has clear shortcomings: a single company's input cost exceeded 16 million yuan (total assistance cost 83 million yuan / 5 stores), and it could cover only 5-8 companies a year, making industry coverage extremely inefficient. This path of "sufficient depth but insufficient breadth" cannot meet the retail industry's need for large-scale learning of "healthy operating principles," so model iteration was inevitable.
(2) The Current Model (20,000-yuan visit): aligned with the "efficiency, ecosystem" consensus, but needs to fix the "coverage, trust" gaps
Under the current "20,000-yuan visit fee" model, Pang Donglai achieves path optimization through "limited headcount, fixed process, strong coordination": it sets two visits per month, each capped at 15 people; calculating at a maximum of 5 participants per company, it can cover 6 companies per month and 72 per year—9 times the past free model (improving efficiency, aligned with consensus 2). The official visit includes "senior-management philosophy interpretation (the pay-labor-efficiency logic) + frontline staff interaction (service implementation details) + multi-scenario access (industrial park + store)," directly striking at third parties' "fragmented store-strolling" harvesting behavior.
But this model faces doubts on multiple fronts: on one hand, the 20,000-yuan-per-person threshold shuts out small and micro businesses (deviating from "covering diverse needs"); on the other, the unpublished cost breakdown leaves the claim of "non-profit orientation" without trust support (deviating from "a transparent ecosystem").
Looking past the phenomenon to the essence, behind both the applause and the doubts lies a bottom-line consensus widely shared across the industry: the retail sector urgently needs a healthy learning ecosystem that lets people "learn the real thing, not waste resources, and avoid being harvested." The 20,000-yuan visit fee is one step Pang Donglai has taken toward that goal.
02 The Essential Problem: The Divergence Is in the 'Path,' Not the 'Goal'
A careful review of the discussion around the "20,000-yuan visit fee" shows that, while the two sides appear sharply opposed, they are in fact working toward the same goal and imply three bottom-line consensuses.
Consensus 1: Reject "Copying the Model in Fragments," and Convey the "Essential Principles of Healthy Operation"
Supporters oppose companies that "merely replicate surface behaviors like 'no-questions-asked returns' and 'staff smiling service,' while ignoring the underlying support of '6,000 yuan monthly pay + an "unhappy day" leave.'" Such imitation not only fails to land but may also cause losses through runaway costs. Skeptics equally oppose "a one-day visit that only observes shelf displays and records promotion plans, failing to penetrate the causal logic of 'pay up 33% → labor efficiency up 58%.'"
Behind the divergence lies a bottom-line consensus both sides accept: the core of retail learning is "reaching the business essence," not "piling up fragmented tricks."
Consensus 2: Reject "Inefficient Waste of Resources," and Balance "Learning Efficiency and Operational Protection"
Supporters back the fee and headcount limits because behind them is the pain point that "with open access and no threshold, over 200 visitors a day forced staff to divert attention to explanations, degrading in-store service quality." Skeptics also concede that "the free-assistance model has efficiency shortcomings." Pang Donglai's earlier 1-on-1 on-site restructuring took 3-6 months per company and covered only 5-8 a year, far short of industry demand.
Behind the divergence lies a bottom-line consensus both sides accept: conveying the philosophy must not come at the cost of "sacrificing Pang Donglai's core operations" or "lowering industry coverage efficiency."
Consensus 3: Reject a "Fake Ecosystem," and Purify the "Retail Learning Environment"
Supporters believe official visits can strike at the harvesting behavior of "high-fee, low-value" third parties—some institutions charge 30,000 yuan per person yet offer only "store-strolling photos + templated handouts," conveying none of the implementable essential logic. Skeptics worry that "after official monopolization, conveying the philosophy degrades into standardized lecturing"—executives reading from scripts, staff posing for cameras—so companies still learn none of the real implementation details.
The core contradiction of all the disputes can be summarized as: under the shared goal of "conveying essential principles, ensuring learning efficiency, and purifying the ecosystem," how to solve the path-fit problem of "small and micro business coverage, cost transparency, and ecosystem diversity." That is, specific path design must balance "filtering for like-minded learners" with "covering diverse needs," "cost balance" with "transparent trust," and "official leadership" with "ecosystem openness," rather than satisfying only a single dimension of value.
03 The Learning Path: How to Find a Path That Fits You?
For the retail industry, agonizing over "is the 20,000-yuan visit fee expensive" or "is the official model good" is meaningless; the key is to find a learning path that fits you. Whether for visiting companies or for building the industry ecosystem, whichever learning path is chosen, the yardstick must be "convey the essence, raise efficiency, purify the environment," rather than falling into black-and-white opposition.
(1) For Visiting Companies: Focus on "Learning the Essence," Not "Quibbling Over Path Form"
1. Large Enterprises (with funding and scale foundation)
The core of the visit is to "dig into the causal logic," avoiding "copying only the results, not the implementation details." For example:
Ask: "After pay is raised 30%, what specific measures (such as membership repurchase optimization, private-label introduction) cover the cost?"
Explore: "When the 'out-of-stock urgent purchase' service is implemented, how is the efficiency problem solved through 'staff empowerment (e.g., autonomous decisions on restocking priority) + inventory-system coordination'?"
Only by mastering the closed-loop logic of "philosophy - institution - benefit" can you avoid "operational risk from surface imitation."
2. Small and Micro Businesses (limited funds but agreeing with the philosophy)
No need to give up learning because of the "20,000-yuan threshold"; the core is to "find a philosophy-implementation approach that fits your own resources":
A low-margin community convenience store can start with "flexible benefits (e.g., two "unhappy days" off per month) + service details (e.g., recording regular customers' needs)" rather than blindly imitating "6,000 yuan monthly pay";
A county-level supermarket can refer to "low-cost visits organized by regional retail associations" (such as past 5,000-yuan-per-person in-depth visits, including staff forums and implementation guidance) to obtain methodologies suited to small and micro needs.
The essence is the "adaptive implementation logic of learning the philosophy," not "copying Pang Donglai's specific practices."
(2) For the Retail Industry: Build a "Diversely Adaptive" Learning Ecosystem, Avoiding "Black-and-White" Thinking
1. Reject "Path Worship" or "Path Rejection"
Do not blindly tout the "20,000-yuan visit fee" as an "industry benchmark," nor deny its value in "solving the low efficiency and chaos of the free model." The core standard for evaluating learning value should be "whether it conveys essential principles, whether it raises learning efficiency, whether it purifies the ecosystem"—not "whether the form is official" or "price high or low."
2. Encourage "Diversified Coordination" in Ecosystem Building
Large hypermarkets can dig deep into the closed-loop logic of "pay - service - profit" through Pang Donglai's official visits; small and micro businesses can obtain adaptive methodologies via regional retail associations and compliant third-party institutions; Pang Donglai itself can optimize its path through "public-welfare slots (e.g., opening 10 free small-and-micro slots per quarter) + cost disclosure." As long as it reaches the "healthy-operating essence," any path has industry value.
04 Implementation Advice: How to Learn So It Sticks?
For companies planning to visit Pang Donglai, they must, around the consensus goal of "conveying essential principles," build a complete logic "from self-check to implementation," avoiding formalized learning where "the visit is the endpoint."
(1) Before the Visit: Anchor the Consensus, Do a "Philosophy - Resource Match" Self-Check
1. Philosophy-Match Self-Check
Clarify whether you accept the bottom-line logic of "employee happiness → customer satisfaction → enterprise profit." If you only hope to learn surface tricks like "sales pitches, shelf displays," the visit's value drops sharply—such fragmented information cannot sustain healthy operation and may instead cause runaway costs through "imitation without underlying support."
2. Resource-Match Self-Check
Plan your learning focus based on your own profitability foundation:
A high-margin premium supermarket can focus on "the synergy of pay raises and service premium";
A low-margin community store must clarify "do not blindly imitate high pay; prioritize exploring low-cost benefits (e.g., flexible hours, staff dinners)."
Avoid "implementation failure from resource misallocation."
(2) During the Visit: Focus on the Consensus Core, Ask About "Causality"
1. Ask About "Philosophy - Institution" Causality
For measures related to "employee rights protection," you must see past the "philosophy" to the "institutional support." For example:
"Behind "staff can take leave when unhappy," are there supporting institutions like "no attendance-deduction fines" and a "colleague-cover shift mechanism"?"
"For the efficient implementation of the "out-of-stock urgent purchase" service, what "staff-empowerment rules" and "inventory-system functions" does it rely on?"
Avoid equating "philosophy" with "slogans"; make sure what you learn is implementable institutional design.
2. Ask About "Cost - Benefit" Causality
For "high-investment measures," you must break down the "cost-covering logic." For example:
"After pay is raised 30%, by how much must average order value and repurchase rate rise respectively to balance the cost?"
"What is users' willingness to pay for battery-swap services (e.g., CATL's Choco-Swap)? Can it turn a profit through "battery subscription"?"
Ensure the philosophy's implementation is commercially viable, not "sentiment regardless of cost."
(3) After the Visit: Around the Consensus, Take a "Small-Step Validation" Path
1. Pilot: Choose Highly Adaptive Measures
Implement 1-2 measures in a small scope at a single store, avoiding radical company-wide reform:
High-margin stores pilot "pay + 5% + devolved service authority (e.g., autonomously deciding compensation up to 50 yuan for customer complaints)";
Low-margin stores pilot "regular-customer need registration (e.g., noting diabetic customers need sugar-free goods) + monthly staff dinners."
Ensure the measures match your own resources.
2. Validate: Track Core Data Metrics
Judge implementation effect through three types of data:
Employee turnover rate: validates whether the "employees first" philosophy truly lands;
Customer repurchase rate: validates whether service value reaches the user side;
Single-store profit: validates whether "cost input" and "benefit gain" balance.
Data is the only standard for testing whether a philosophy lands.
3. Scale Up: Iterate Based on Validation Results
If a pilot store's employee turnover falls more than 10% and repurchase rate rises more than 5%, it can gradually roll out to other stores; if the data show no improvement, review "how well the measure matches your own resources," adjust, and pilot again. Avoid "operational turmoil from radical company-wide reform."
The controversy over Pang Donglai's "20,000-yuan visit fee" is, in essence, the retail industry's collective reflection on a "healthy learning ecosystem." The value of this discussion lies not in "determining that some path is absolutely correct," but in "finding industry consensus and optimizing the path around it"—whether it is Pang Donglai's model iteration or a company's learning implementation, as long as it stays anchored to the core of "conveying essential principles, raising learning efficiency, purifying the ecosystem," it can move the retail industry from "surface imitation" toward "essential innovation."
For retail companies, true competitiveness has never been "how many tricks you copy" but "whether you have mastered the essential logic of healthy operation." When more companies can see past "path divergence" and focus on "consensus goals," the retail industry's learning ecosystem can truly become healthy, efficient, and sustainable—which is also the value most worth the industry's deep reflection, behind the controversy over Pang Donglai's visit model.
