Customer Journey Experience
TRANSFORMING IN-STORE EXPERIENCES
Customer Journey
SAI visual intelligence platform provides deep visibility into the entire customer journey—from the moment shoppers enter the store to the final checkout and exit. By analyzing in-store movement, queue activity, and customer interactions, retailers can improve store layouts, reduce wait times, and deliver a smoother, more engaging shopping experience.
24/7
Active Store Monitoring
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Daily Transactions Per Store
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Faster Checkout Experience
Understand Customer Behaviour Across Every Step of the Journey
From entry to checkout, gain real-time visibility into customer flow, store engagement, and shopping patterns to improve operational efficiency and customer satisfaction.
Store Traffic Count
Measures the total number of customers entering the store during a specific time period, helping retailers understand overall store footfall.
Store Traffic Shape of Day
Analyzes how customer traffic changes throughout the day to identify peak shopping hours and quieter periods.
Average Time In Store
Calculates the average duration customers spend inside the store, providing insights into engagement and shopping behavior.
In-Store Staffing
Uses traffic insights to recommend optimal staff allocation so stores can maintain service efficiency during busy and slow periods.
Checkout Queue Time
Tracks how long customers wait in checkout lines, helping stores reduce delays and improve the overall checkout experience.
Shopper Demographics
Provides insights into customer demographics such as age and gender distribution to help retailers better understand their audience.
Passing Shoppers
Measures the number of people passing by the storefront without entering, helping retailers evaluate store visibility and attraction.
Customer Traffic
Analyzes overall customer movement within the store, identifying high-traffic zones and popular shopping areas.
Store Front Views
Tracks how many people stop or look at the storefront display, helping retailers measure the effectiveness of visual merchandising.
In-Store Traffic Map
Creates visual heatmaps showing where customers spend the most time in the store, helping optimize store layout and product placement.
Journey Stats - Categories/Aisles Visited
Provides insights into which store sections, aisles, or product categories customers visit most during their shopping journey.
Decision Matrix
Compares product visibility and customer interaction with actual purchases to understand which items influence buying decisions.
Service Alerts
Sends alerts to store staff when a customer spends extended time examining a product, enabling timely assistance and better customer service.
Shopper Conversion
Measures the percentage of visitors who make a purchase, helping retailers evaluate store performance and sales effectiveness.
Store EntryMonitoring
The customer journey begins the moment a shopper enters the store. Entry monitoring helps retailers understand store traffic patterns, peak shopping hours, and customer inflow
- Track the number of customers entering the store in real time.
- Identify peak hours and high-traffic periods.
- Improve staff allocation based on store traffic trends.
- Enhance security and operational awareness at store entrances.
In-Store Movement Insights
Understanding how customers move through the store provides valuable insights into shopping behavior.
- Analyze customer movement across different aisles.
- Identify high-engagement product areas.
- Optimize store layout and merchandising strategies.
- Detect unusual behaviour patterns within the store.
Queue & Checkout Experience
Checkout is one of the most critical moments in the customer journey. Monitoring queues helps retailers reduce waiting times
- Monitor queue length and waiting times at checkout counters.
- Identify congestion at specific checkout lanes.
- Enable quick staff intervention to open additional counters.
- Improve overall customer satisfaction during payment.
Seamless Exit Monitoring
The final stage of the customer journey ensures that shoppers exit the store smoothly. Exit monitoring helps maintain operational awareness while preventing unpaid items from leaving the store.
- Monitor exit points to ensure smooth customer flow.
- Detect potential unpaid items before customers leave the store.
- Support store staff with alerts for suspicious activity.
- Maintain a secure and efficient store exit process.
FAQ
Customer journey tracking analyzes how shoppers move through a store, from entry to exit, to understand behavior and improve experience.
AI uses visual data to monitor movement patterns, identify popular areas, and generate insights for better store planning.
Retailers can understand foot traffic, product interactions, dwell time, and bottlenecks within the store.
It helps optimize store layout, product placement, and promotions, leading to increased engagement and conversions.
Yes, it uses anonymous data and does not rely on personal identification, ensuring customer privacy.
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