Central Retail
15% Efficiency Improvement Case
Centralized multi-store data management boosts efficiency
Project Background
Central Retail, a leading Southeast Asian retail group, operates department stores, supermarkets, and food and lifestyle outlets, serving a diverse customer base.
As retail digital transformation accelerates, the group needs intelligent tools for store operation visibility and data-driven management to boost efficiency, enhance customer experience, and stay competitive.
Project Requirements
People Traffic Situation
Gain real-time insights into store traffic and peak hours
Centralized Management
Lack of real-time data acquisition and visualization
Operational Efficiency
Employee scheduling, inventory, and marketing lack data support
Marketing Strategy
Marketing decisions lack data support, leading to blind strategies
Solution
The system uses AI-powered people counting to track entries and exits accurately, exclude duplicates, and upload real-time store data to the cloud. Headquarters can monitor stores, compare data, generate reports, and analyze traffic trends, dwell time, and popular areas to guide marketing and optimize operations.
Project Benefits
Foot Traffic Trends
Provides real-time customer traffic and peak hour statistics for each store with accurate
Unified Management
Centralized multi-store data display and comparison greatly enhance management
Resource Allocation
Data-driven scheduling, inventory, and marketing help reduce costs
Improved Efficiency
Scientifically plan manpower and inventory management to reduce costs
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