Summary of Key Points
The leading fast-moving consumer goods (FMCG) brand K encountered significant resistance from its dealers while attempting to integrate manufacturer data. This was due to K's practices such as forcing dealers to switch systems, imposing KPIs, blurring the boundaries of the data, and relying on outdated methods of coercion. In contrast, brands like Snow Flower Beer and Nongfu Shanquan successfully achieved data integration by respecting dealers' choices, clearly defining data boundaries, implementing the process in phases, and providing necessary support. The article highlights that while the direction of integrating data is correct, the approach was flawed. Manufacturers should first focus on establishing effective communication and treat dealers as equal partners, rather than targets for transformation.
What Mistakes Did Brand K Make in Promoting Data Integration?
Although Brand K's goal of integrating data was sound, its methods were problematic:
1. Turning Data Integration into a System Switch: Data integration should have simply involved connecting the two systems, but K insisted that dealers replace their established systems with a specified one. This not only wasted dealers' money but also disrupted their operational routines.
2. Reverting Collaborative Projects to KPIs: The project was reduced to a task-based approach, with metrics like “how many dealers to reach within a certain number of days.” Frontline staff focused solely on signing contracts, stamping documents, and tracking trainings, without ensuring that the systems were actually being used. As a result, contracts were signed, but the data remained unconnected—a clear example of digital pretense.
3. Lack of Clear Data Boundaries: Dealers were willing to share K's inventory data but were concerned about revealing sales and financial information from other brands. K failed to clarify what data could be accessed and how it would be used, leaving dealers uncertain and unwilling to cooperate.
4. Forcing New Projects with Old Methods: FMCG dealers already face significant pressures from manufacturers (such as inventory targets and task assignments). K's aggressive approach only increased their resistance, perceiving it as another form of unilateral demand.
Why Was There Such Resistance to System Switching?
Dealers' systems are not just ordinary software tools; they represent the foundation of their business operations:
- High Cost: These systems can be expensive (e.g., costing hundreds of thousands of yuan) and have been in use for years.
- Impact on Operations: Systems are integrated with orders, warehouses, finance, deliveries, and sales processes. Replacing them would disrupt entire business operations, requiring teams to relearn and migrate data, potentially halting business activities.
- Ownership Issues: Dealers are independent business owners; they invested in these systems and feel entitled to keep them. Forcing a change without compensation is seen as unfair.
Why Did Snow Flower Beer and Nongfu Shanquan Succeed in Data Integration?
Despite also aiming for data integration, these brands succeeded because of the following four key factors:
1. Giving Dealers a Choice: They allowed dealers to use one or more mainstream systems, respecting their existing investments.
2. Clear Boundaries: They provided a detailed list of data that would be shared and what would remain confidential, giving dealers peace of mind.
3. Phased Implementation: They started with basic inventory data and gradually expanded the integration to include orders, sales points, and expenses, allowing dealers time to adapt.
4. Incentives for Cooperation: They offered financial support, rewards, or services to compensate for the costs associated with system upgrades and training.
What Is the Correct Approach to Data Integration?
To get dealers to cooperate, manufacturers should:
1. Ensure System Compatibility: Set clear data standards and interface rules that allow integration with any dealer systems.
2. Establish Clear Boundaries: Clearly define which data can be shared, which is optional, and which must be kept confidential, especially regarding finance, taxes, and other brands' information.
3. Share Benefits: Demonstrate how data integration will improve operations (faster replenishment, more accurate promotions, more efficient expense management), or provide direct incentives to dealers.
4. Evaluate Actual Use: Focus on whether the data is being used effectively, not just on the number of contracts signed or documents stamped.
Trust Is More Important Than Data
The essence of the manufacturer-dealer relationship is equal cooperation, not command and control. Trust is essential for successful data integration:
- Manufacturers must respect dealers' investments in systems, processes, and work habits.
- Dealers need to trust that manufacturers will not misuse the data or exploit their interests.
- If manufacturers only seek to access data without offering benefits or reassurance, trust will be lost.
As one dealer put it, “If manufacturer leaders would visit more often, they would realize that systems shouldn’t be changed arbitrarily.” Before attempting data integration, it’s crucial to build a foundation of mutual trust and effective communication.