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Real-time Customer Behavior Analytics Platform for Retail Optimization
  1. case
  2. Real-time Customer Behavior Analytics Platform for Retail Optimization

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Real-time Customer Behavior Analytics Platform for Retail Optimization

euvic.com
Retail

Challenge

ElectroGiant Corp. faces challenges in ensuring optimal customer service and maximizing sales within their large-format retail stores. They lack real-time insights into customer behavior, leading to inefficiencies in staffing, merchandising, and promotional activities. They struggle to proactively address customer needs and personalize the shopping experience.

About the Client

A leading electronics retailer operating a large network of physical stores across the country. They are focused on providing excellent customer service and optimizing store operations for increased sales and customer satisfaction.

Project Objectives

  • Improve customer service speed and efficiency.
  • Gain real-time visibility into customer traffic patterns and behavior within stores.
  • Optimize store layout and infrastructure based on customer movement analysis.
  • Tailor promotional activities and merchandising strategies to customer preferences.
  • Enhance customer satisfaction and loyalty.

Functional Requirements

  • Real-time customer counting and tracking.
  • Heatmap generation to visualize customer traffic patterns.
  • Dwell time analysis for specific areas and products.
  • Heatmap analysis of customer paths within the store.
  • Alerts triggered by KPI thresholds (e.g., queue length, dwell time).
  • Integration with existing point-of-sale (POS) and inventory management systems.
  • Reporting and dashboarding capabilities.

Preferred Technologies

Machine Learning (for behavior prediction)
Computer Vision (for video analysis)
Data Analytics Platform (for data processing and visualization)
Cloud-based infrastructure (for scalability)

Integrations Required

  • Point of Sale (POS) system
  • Inventory Management System
  • CRM system (for customer segmentation)

Key Non-Functional Requirements

  • Scalability to handle high volumes of data and concurrent users.
  • Real-time performance with minimal latency.
  • Data security and privacy compliance (GDPR, CCPA).
  • High availability and reliability.

Estimated Impact

The implementation of this platform is expected to significantly improve customer service efficiency, optimize store operations, increase sales, and enhance overall customer satisfaction. Real-time insights will empower ElectroGiant Corp. to make data-driven decisions regarding staffing, merchandising, and promotions, leading to a measurable return on investment and a competitive advantage.

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