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Predictive Analytics Solution for Retail and Malls
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AI Predictive Analytics

AI powered predictive data analytics solution specially designed for intelligent retailing. Designed exclusively for intelligent retailing, our solution harnesses the potential of artificial intelligence to transform business operations.

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Enable smarter decision making & faster business growth with AI-based Predictive Analytics

Achieve strategic business goals and scalability through data-driven decision-making. Leverage the power of AI to make accurate business forecasts, shrewd decisions, impactful marketing campaigns, and beyond.

Using our AI predictive analytics and Big Data insights, you can now learn more about your customers and gain deeper insights so you can improve customer experiences and increase profitability.

Scale your business with Xpandretail Predictive Analytics

Footfall by Weather.

Analyze footfall trends by weather patterns to optimize store operations, enhance customer engagement, and drive targeted marketing campaigns.

Power Hour

Power Hour report identifies peak hours of the day, enabling businesses to optimize staffing, operations, and customer engagement.

Prediction vs Actual

Compare predicted footfall with actual data to assess forecast accuracy, optimize operations, and refine future business strategies.

Benchmark Report

Benchmark Report provides performance comparisons against industry standards, helping businesses evaluate their growth, identify gaps, and drive improvements.

Industries We Serve

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. 

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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.

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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.

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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!

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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.

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IoT Predictive System FAQ

Questions you might ask about Forecasting of Store Traffic and Store Visitor Trend Prediction.

Predictive footfall analytics uses historical visitor data and deep-learning algorithms to forecast future traffic trends in retail spaces. This helps malls, stores, and groceries improve customer experience by predicting when and where foot traffic will increase.
Yes, predictive analytics can help grocery stores prepare for peak hour traffic by analyzing past footfall patterns to forecast busy times.
Traffic forecasts based on people-counting systems can be highly accurate ranging from 95% to 99% precision. The accuracy depends on factors like sensor placement, data volume, seasonality, and whether the system accounts for variables like holidays or weather.
Predictive footfall analytics can optimize marketing campaigns and promotions by identifying peak traffic times and visitor patterns. Retailers can use these insights to schedule promotions when footfall is highest, target the right audience.

Still Have questions?

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

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