Development of a Foot Traffic Data Processing and Analytics Platform for Retail Insights

The client faces difficulties in collecting, processing, and analyzing large volumes of offline location data to gain actionable insights into customer foot traffic, demographic profiles, crime rates, and competitive landscape. These challenges hinder strategic decision-making and market understanding in a physically connected environment.

A large-scale retail chain or marketplace needing to analyze foot traffic and location data to inform business decisions and optimize store performance.

• Develop a comprehensive data processing system to manage incoming location and foot traffic data efficiently.
• Create a flexible data presentation layer that adapts reports to different user needs and external datasets.
• Scale the data entry and processing team with robust recruitment, onboarding, and mentorship processes to support growing data demands.
• Achieve high accuracy and reliability in location-based insights to facilitate smarter retail, hospitality, and real estate decisions.
• Improve the speed and accessibility of data insights to ensure real-time or near-real-time analytics for business stakeholders.

• Data collection and identification module for sourcing offline location data.
• Data processing engine for aggregating, cleaning, and transforming incoming data streams.
• Data presentation layer featuring customizable reports and dashboards based on user preferences, including historical data, demographics, crime statistics, sales estimates, and competitive analysis.
• User-specific data customization capabilities considering terminology, report format, level of detail, and external dataset integration.
• Integration with external data sources for enriched insights and comprehensive analysis.
• Mentorship and onboarding portal to facilitate the recruitment and training of a dedicated data specialist team to support ongoing operations.

• Real-time location data feeds from offline sensors/devices
• Demographic, crime, and sales estimate data sources
• External datasets for external market and competitor insights
• User authentication and role management systems

• System scalability to handle at least 3,000+ data sources with real-time processing capabilities
• High system reliability with minimal downtime
• Data security compliant with industry standards
• Fast processing and report generation within seconds or minutes

The new platform aims to significantly enhance the client’s ability to analyze physical location data, leading to more informed decision-making in retail expansion, real estate planning, and customer engagement strategies. Expected outcomes include increased data processing capacity, more accurate insights, and faster reporting—ultimately supporting scalable growth and competitive advantage.