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Retail Traffic Analytics and Customer Insights Platform

embiq.com

Retail

Challenge

Brinch needs a comprehensive solution to understand customer movement, dwell times, and identify recurring visitors within retail locations. Current methods lack the granularity and real-time insights required for effective inventory management, targeted marketing, and store optimization.

About the Client

Brinch provides modern tools for traffic analytics, consumer behavior and preferences in physical locations.

Project Objectives

Develop a system for real-time analysis of customer movement within retail spaces.
Enable customer profiling based on observed behavior.
Provide geographic targeting capabilities for marketing campaigns.
Facilitate object identification to track product interactions and store layouts.
Deliver actionable insights to improve store layout, product placement, and customer experience.

Functional Requirements

Real-time tracking of customer movement within a store.
Calculation of visit duration within the store and specific zones.
Identification of recurring visitors.
Geographic targeting capabilities based on customer behavior.
Object identification and tracking (e.g., product interactions).
Data visualization and reporting dashboards.
Customer profile creation and management.
Alerting system for unusual customer behavior.

Preferred Technologies

WebSocket

WiFi Tools

Integrations Required

Potential integration with existing point-of-sale (POS) systems.
Potential integration with CRM platforms for customer segmentation.

Key Non-Functional Requirements

Scalability to handle high volumes of data from multiple stores.
Real-time performance with minimal latency.
Data security and privacy compliance (GDPR, CCPA).
Reliability and high availability.

Estimated Impact

This platform will enable Brinch to gain deeper insights into customer behavior, leading to improved store efficiency, targeted marketing campaigns, optimized product placement, and ultimately, increased sales and customer satisfaction. Real-time data analysis will allow for quicker responses to changing customer trends and preferences.