Diagnosis and Strategy Report on Optimizing Sales Expense Ratio of Bright Dairy
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Based on the above data and industry analysis, I will provide a systematic and comprehensive optimization plan for Bright Dairy’s high sales expense ratio issue.
According to Bright Dairy’s 2021-H1 2025 financial data [0][1], the company’s sales expenses show the following characteristics:
| Indicator | 2021 | 2022 | 2023 | 2024 | 2025H1 |
|---|---|---|---|---|---|
| Sales Expenses (RMB 100 million) | 33.23 | 32.63 | 30.15 | 28.72 | 13.62 |
| Sales Expense Ratio | 11.38% | 11.57% | 11.38% | 11.45% | 10.92% |
| Ratio to Operating Profit | 335.0% | 360.2% | 524.3% | 392.9% | 374.2% |
- Positive Trend: Sales expenses have continued to decline from RMB 3.323 billion in 2021 to RMB 1.362 billion in H1 2025, with a cumulative annualized decrease of59%
- Improvement in Expense Ratio: The sales expense ratio has dropped from 11.38% to 10.92%, and in H1 2025, it has fallen below the industry average
- Structural Issue: The average ratio of sales expenses to operating profit is as high as397.3%, meaning that every RMB 1 of sales expense only generates RMB 0.25 of operating profit
Compared with major competitors [3][4][5]:
| Enterprise | Sales Expense Ratio | Gross Profit Margin | Net Profit Margin | Characteristics |
|---|---|---|---|---|
Yili Group |
19.0% | 33.88% | 7.33% | Growth driven by high expense investment |
Mengniu Dairy |
27.9% | 41.7% | 0.25% | High expense ratio impacts profitability |
Bright Dairy |
10.92% | ~20% | 2.88% | Relatively low expense ratio |
Industry Average |
~11.5% | 34.4% | 5.6% | — |
- Bright Dairy’s sales expense ratio is significantly lowerthan that of Yili and Mengniu, but itsnet profit marginis also notably lower
- There is room for optimizing expense efficiency: How to improve revenue conversion rate while controlling expenses
Based on H1 2025 semi-annual report data [1][2], Bright Dairy’s sales expenses are mainly composed of the following:
| Expense Item | Estimated Proportion | Amount (RMB 100 million) | Optimization Potential |
|---|---|---|---|
Cold Chain Logistics & Transportation |
18-22% | 2.5-3.0 | Medium-High |
Advertising & Promotion |
28-32% | 3.8-4.4 | High |
Channel Expenses (Slotting Fees, Display Fees) |
22-26% | 3.0-3.5 | Medium-High |
Sales Staff Compensation |
14-18% | 1.9-2.5 | Medium |
Other |
8-12% | 1.1-1.6 | Low |
- Excessively High Sales Expense/Operating Profit Ratio: The average ratio is 397%, far exceeding the reasonable industry level (150-200%)
- Diminishing Marginal Returns: The decline in sales expenses is greater than the decline in revenue (13.6% drop in sales expenses vs 14.1% drop in revenue)
- High expense ratio for traditional supermarket channels, relying on display fees, slotting fees, etc.
- There is still room to increase the proportion of e-commerce channels
- The potential of the Suixinding D2C platform has not been fully realized
- The characteristics of low-temperature fresh milk products determine the rigidity of cold chain costs
- Cold chain logistics expenses account for approximately 20% of sales expenses
- There is a balance issue between cold chain coverage and costs
- The conversion efficiency of advertising and promotion expenses to brand value enhancement needs to be evaluated
- The ROI (Return on Investment) of promotional activities lacks refined measurement
| Measures | Details | Expected Outcomes |
|---|---|---|
AI Route Optimization |
Optimize delivery routes using AI algorithms to reduce empty load rates | 10-15% reduction in transportation costs |
Intelligent Temperature Control System |
Real-time monitoring via IoT sensors to reduce loss rates | Loss rate reduced from 5% to below 3% |
Intelligent Warehousing |
Optimize inventory turnover via WMS system | 20% increase in inventory turnover rate |
Third-Party Collaboration |
Collaborate with JD Cold Chain, SF Cold Chain [6] | Convert fixed costs to variable costs |
- Phase 1 (6 months): Complete deployment of AI route optimization system
- Phase 2 (12 months): Increase coverage of intelligent freezers to 80%
- Phase 3 (24 months): Establish an industry-leading benchmark for cold chain efficiency
| Channel Type | Current Proportion | Target Proportion | Strategy |
|---|---|---|---|
Suixinding D2C Platform |
15% | 25% | Focus on developing digital direct reach |
E-commerce Platforms |
20% | 28% | Optimize operational efficiency |
Convenience Stores/Specialty Stores |
25% | 22% | Select high-quality locations |
Traditional Supermarkets |
40% | 25% | Gradually exit low-efficiency stores |
- Upgrade from a “milk delivery platform” to a “fresh food home delivery platform”
- Expand product categories (meat, eggs, vegetables, fruits)
- 6.55 million registered users, 1.6 million monthly active users, with huge potential
- Awarded the “Shanghai Brand” certification for seven consecutive years
- Sales expense ratio for D2C channels is approximately 5-7% (vs 15-20% for traditional channels)
- For every 10% increase in the proportion of D2C channels, sales expense savings of approximately RMB 80-100 millioncan be achieved
| Optimization Measures | Details | Expected Outcomes |
|---|---|---|
Digital Marketing |
Precision targeting via big data to improve conversion rate | 30% increase in marketing efficiency |
Integration of Branding and Performance |
Establish KPI assessment system with ROI orientation | Reduce ineffective investment |
Private Domain Traffic |
Build membership system to improve repurchase rate | 20% reduction in customer acquisition cost |
Promotion Optimization |
Reduce simple price promotions, strengthen value-based marketing | 1-2 percentage point increase in gross profit margin |
- Establish a marketing expense ROI tracking system
- Link sales expense ratio to sales growth in performance assessments
- Strengthen operation of the Suixinding membership system
| Indicator | Current Level | Industry Benchmark | Optimization Target |
|---|---|---|---|
Revenue per Sales Employee |
RMB 6.55 million | RMB 7.5 million | +15% |
Expenses per Sales Employee |
RMB 1.08 million | RMB 0.95 million | -12% |
Management Compensation/Gross Profit |
43.4‱ | 35‱ | -20% |
- Optimize sales team structure and reduce hierarchical levels
- Promote performance assessment for sales staff
- Introduce digital sales tools to improve workforce efficiency
Bright Dairy has established a relatively comprehensive digital foundation [7][8]:
Ranch End → Factory End → Logistics End → Sales End
↓ ↓ ↓ ↓
AI Sprinkling 1581 Intelligent Control Points GPS+Temperature Control Suixinding D2C
- Ranch End: AI precision sprinkling system achieves a water saving rate of over 45%, with annual water savings of 75,000 tons
- Factory End: Sterilization temperature reduced from 85℃ to 75℃, preserving more active substances
- Logistics End: 58 warehouses, over 1,500 refrigerated trucks, covering 50,000 delivery outlets
- Sales End: 1.6 million monthly active users on the Suixinding platform
| Field | Optimization Measures | Expected Benefits |
|---|---|---|
Supply Chain |
Data interconnection between upstream and downstream | 25% increase in inventory turnover rate |
Marketing |
Big data-based precision marketing | 20% reduction in customer acquisition cost |
Operations |
Process automation | 10% reduction in administrative expenses |
| Indicator | 2025H1 Status | 2026 Target | 2027 Target | 2028 Target |
|---|---|---|---|---|
| Sales Expense Ratio | 10.92% | 10.0% | 9.5% | 9.0% |
| Sales Expenses (RMB 100 million) | 13.62 (H1) | 25.0 | 23.5 | 22.0 |
| Sales Expenses/Operating Profit | 374% | 300% | 250% | 200% |
| Net Profit Margin | 2.88% | 4.0% | 5.0% | 6.0% |
| Optimization Project | Current Amount | Optimization Rate | Annual Savings (RMB 100 million) |
|---|---|---|---|
| Cold Chain Logistics Optimization | RMB 270 million | 15% | 0.40 |
| Channel Structure Adjustment | RMB 320 million | 20% | 0.64 |
| Marketing Efficiency Improvement | RMB 400 million | 15% | 0.60 |
| Organizational Efficiency Improvement | RMB 220 million | 10% | 0.22 |
Total |
RMB 1.21 billion |
— | 1.86 |
- Net Profit Increase: Assuming revenue remains stable, the RMB 186 million in savings will be directly converted into profit
- Net Profit Margin Improvement: Based on RMB 25 billion in revenue, the net profit margin can be increased by approximately0.74 percentage points
- ROE Increase: ROE is expected to rise from 7.18% toover 10%
| Risk Type | Details | Response Measures |
|---|---|---|
Revenue Decline Risk |
Expense reduction may lead to revenue decline | Focus on high-efficiency channels to ensure revenue growth |
Intensified Competition |
Yili and Mengniu may increase investment | Differentiated competition, strengthen “freshness” positioning |
Execution Risk |
Digital transformation progress falls short of expectations | Implement in phases and set milestone assessments |
Talent Risk |
Sales team transformation leads to talent loss | Gradual reform, improve incentive mechanisms |
- Positive Trend: Bright Dairy’s sales expense ratio has shown a downward trend, dropping to 10.92% in H1 2025, outperforming the industry average
- Structural Issue: The ratio of sales expenses to operating profit is too high (397%), and expense efficiency needs to be improved
- Optimization Potential: Through cold chain digitalization, channel optimization, and refined marketing, it is expected to achieve annual sales expense savings ofRMB 150-190 million
- Digital Foundation: Bright Dairy has established an end-to-end digital system, providing support for further optimization
| Priority | Action Item | Time Frame | Expected Outcome |
|---|---|---|---|
P0 |
Promote Suixinding D2C platform upgrade | 6-12 months | 20% reduction in channel expenses |
P1 |
AI cold chain route optimization | 6-12 months | 15% reduction in cold chain costs |
P1 |
Establish marketing ROI assessment system | 3-6 months | 30% increase in marketing efficiency |
P2 |
Exit low-efficiency channels | 12-24 months | 1 percentage point reduction in overall expense ratio |
- Focus on the “Leading Freshness” Strategy: Leverage the differentiated advantage of low-temperature fresh milk, and avoid direct competition with Yili and Mengniu in the room-temperature milk segment
- Deepen D2C Model: Build Suixinding into the No.1 e-commerce brand in China’s dairy industry, and achieve the upgrade from “milk delivery expert” to “fresh food home delivery provider”
- Build a Data Middle Office: Use data to drive marketing decisions and channel operations, improving overall expense efficiency
[0] Jinling API Financial Analysis Data
[1] Bright Dairy Co., Ltd. 2025 Semi-Annual Report (http://static.cninfo.com.cn/finalpage/2025-08-30/1224621231.PDF)
[2] Research on Profitability Analysis and Improvement Strategies of Bright Dairy (http://zhgry.aiijournal.com/CN/10.12377/1671-4393.25.04.05)
[3] How Mengniu Wins the Battle? (https://m.huxiu.com/article/4818346.html)
[4] Dairy Consumption Structure Upgrade, Scene Expansion: Instant Retail New Channel Opens a New Chapter in the Dairy Industry (https://pdf.dfcfw.com/pdf/H3_AP202508201731172292_1.pdf)
[5] 2024 Cost-Effectiveness Analysis of China’s Dairy Benchmark Enterprises (https://pdf.dfcfw.com/pdf/H2_AN202504291664528545_1.pdf)
[6] Analysis of Bright Dairy’s Cold Chain Layout (https://www.gilin.com.cn/essence0930962.html)
[7] Bright Dairy: Data-Driven, Building a Collaborative Benchmark for the Entire Dairy Industry Chain (https://www.xhby.net/content/s68c38a6de4b0a339ab15d22a.html)
[8] Bright Dairy Co., Ltd.: Data-Driven Building of a Digitally Collaborative Entire Industry Chain for Dairy Products (https://www.crnews.net/ltqy/nyqypyal/973250_20250818094513.html)
Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.
About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.
