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Retail Data Analytics

AI Footfall Analytics for Data-Driven Retail Insights.

Leverage accurate customer footfall data using our AI-powered people counting system to enhance customer experience, improve store efficiency, and drive growth.

How Retail Data Analytics helps businesses?

Retail data analytics involves collecting and analyzing customer footfall data to improve retail store performance. With our AI-powered retail data analytics system tracks visitor trends, peak hours, dwell time, and conversion rates becomes very easy.

These insights help retailers optimize staffing, enhance store layouts, and drive sales through data-driven decisions, ensuring a smarter and more efficient retail experience.

Stay Ahead with AI-Driven Retail Data Insights

Unique Visitor Counts

Track unique visitor counts to ensure accurate footfall data, counting each visitor only once, even with multiple visits in 24 hours.

Customer Age Groups

Analyze customer count data by age groups to understand customer demographics, tailor marketing strategies, and improve product offerings for diverse audiences.

Footfall Daily Target

Set and track your footfall daily target to measure store performance, optimize staffing, and enhance customer experience effectively.

AI Staff Exclusion

Measure customer footfall by excluding staff from visitor counts, ensuring accurate footfall data for better retail data analytics.

Industries We Serve

Retail People Counting FAQ

Questions you might ask about AI Footfall Analytics Solution and Retail Data Analytics.
People counting systems by Xpandretail uses AI algorithms and deep learning technology to count individuals entering and exiting a retail store. Our system is capable of doing staff exclusion, dwell time tracking, and zone-wise analytics.
Customer footfall data helps retailer stores understand the store performance beyond sales numbers. This data if collected correctly reveals details like peak hours when the store has most customer visits, customer engagement inside different zones.
Traditional footfall counting rely on manual clickers or basic infrared sensors, which are often inaccurate. AI-based people counting system uses deep learning to deliver 110% accurate customer counts, exclude staff movement, and provide demographic insights.
People counting system should GDPR-compliant and should not capture any personal identifiable information and should be designed to focus only on anonymized visitor behavior.

Still Have questions?

Can’t find the answer you’re looking for? Please contact with our customer service.

Get In Touch

Connect with our People Counting Solution Expert for more details.

Industries We Serve

Retail

Is raising your conversion rate your priority? Our AI-powered solutions assist retail stores and shops gather customer-centric data both inside and outside their store. We provide all the essential information a retailer needs to improve store efficiency and conversion rates.

Hypermarkets

Do you know where to arrange products strategically? We provide supermarkets solutions with a comprehensive system that enables them to uncover the entire customer journey, including dwell zones, popular sections, queue times, and much more.

Smart Buildings

Is your facility both cost-effective and resource-efficient? We provide buildings and workplaces with a smart solution that allows them to track facility usage while maintaining a comfortable indoor atmosphere.

Malls

Our advanced solutions for malls helps you track and analyze shopper insights, interpret and optimize your customer’s journey, and discover crucial footfall patterns. We strive to create an open and trustworthy connection between mall owners and tenants.

Automotive

How to identified leads? With Xpandretail’s AI-enabled footfall and people counting solutions, you can boost your showroom’s profitability via raw insights, analysis of customer behavior, tailored promotions, data-backed deals, and more!
Get In Touch

Connect with Data Analytics Expert