Case Study
Analysing and Predicting Store Traffic to Power Retail Success
The Challenge
How do analyse retail foot traffic to understand customer behaviour?
Industry: Retail
Measurable Results
90%
Accuracy in real-time store traffic
10,000 sqf
Retail store under surveillance
Optimise
staffing, marketing and maintenance decisions
90%
Accuracy in real-time store traffic
10,000 sqf
Retail store under surveillance
Optimise
staffing, marketing and maintenance decisions
The Project
Data is key to achieving retail success. And while many players understand the importance of data, few are able to gather and harness it effectively. How do you accurately measure real-time store traffic ? And how do you gain insights from the massive amounts of data gathered? This telecom store was looking for accurateretail analytics to help them make smarter decisions about their staff allocation, grow store profits, and improve customer satisfaction.
Data makes the difference. By analysing store traffic with AI, retailers can optimise resources and personnel, and go one step further in building a closer relationship with customers.
What We Did
Store cameras and an AI-powered cloud platform for tangible insights on customer behaviour
We deployed a single Gaia AI unit on an existing camera to capture the camera feed and gather behavioural data. This data was conveyed to Gaia's cloud based platform that was trained to provide real-time traffic analysis based on observable behaviour.
CCTV Camera
AI Video Analytics
- 1 Gaia AI unit on existing camera, computing local behavioural data in real-time and reporting to Gaia platform
- Account on cloud-based platform
- Real-time store traffic analysis
The Impact
Improve store performance, bring clarity to decision-making and predict patterns for the future
By accurately measuring daily and weekly foot traffic , the retail brand has the ability to optimise staffing based on observable customer patterns. Analytics give operators the ability to design store layouts to match ideal customer journeys, and measure the success of store displays or seasonal marketing campaigns. Besides tracking sales conversion rates, these tools help store managers plan operational staff and stocks. In retail only the fittest survive. AI-assisted stores have the potential to completely transform the traditional retail experience through personalisation, automation and enhanced efficiency.
- 90% accuracy in real-time in-store traffic, accumulated traffic and hourly traffic
- Track store performance..3.3k anonymous visitors detected on average per week.
- Optimise staffing, marketing and maintenance decisions
- Higher store profitability, higher service levels
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