Chain Stores
Hierarchical Management Case
Supporting differentiated promotion and operational decisions
Project Background
As Lippi’s offline store network expands, clear differences have emerged in customer traffic, visitor quality, and operational performance across stores. Traditional sales-focused management can no longer reflect real operational conditions or support refined management.
By building a tiered store management system based on customer traffic data, Lippi enables different store types to adopt targeted operational and promotional strategies.
Project Requirements
Stratification Standards
Based on customer traffic data, stores are objectively categorized
Store Diagnosis
Distinguish low-traffic stores from low-conversion stores
Management Strategy
Create tailored plans for each store level
Level Adjustment
Continuous data enables timely strategy adjustments
Solution
A unified people counting system is deployed to ensure consistent data across all stores; headquarters can monitor the scale and trends of customer flow at each store in real time, and, in conjunction with sales performance, assess the operational level of each store; by continuously tracking changes in customer flow, the actual effectiveness of strategy adjustments at different store levels can be quantitatively evaluated.
Project Benefits
Refined Management
Enable differentiated management across stores
High-efficiency input
Prioritize high-potential stores, reduce waste
Accurate Positioning
Identify traffic or conversion bottlenecks quickly
Capability Boost
Tiered management improves overall store performance
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