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Real-Time Sales and Employee Performance Analytics Platform

dataforest.ai

Retail

Consumer products & services

Operational and Performance Monitoring Challenges

The client struggled with controlling sales operations, monitoring employee performance at a granular level, and lacked real-time insights into KPIs and customer service metrics, leading to potential revenue loss and inefficiencies.

About the Client

A US-based retailer specializing in luxury brands and private label products.

Strategic Objectives for the Development Project

Implement real-time sales and performance tracking system
Enhance employee KPI monitoring with atomic-level insights
Achieve 17% sales growth and 15% revenue increase through data-driven optimizations
Improve demand forecasting accuracy to 88%
Reduce stockouts by 0.9% through intelligent inventory management

Core Functionalities Required

Real-time sales and customer service dashboards
Atomic-level employee KPI tracking with alerts
AI-powered performance improvement recommendations
POS system integration for transaction data aggregation
Customer behavior analysis for upselling opportunities
Demand forecasting with 88% accuracy
AI chatbot integration for customer data collection

Technology Stack Preferences

Python

ReactJS

Django REST Framework

PostgreSQL

AWS

External System Integrations

Point-of-Sale (POS) systems
AWS cloud infrastructure
Existing HR management systems
Customer support platforms

Non-Functional Requirements

Scalability to handle 10,000+ concurrent users
Real-time data processing latency <1 second
AES-256 data encryption for compliance
99.9% system uptime SLA

Anticipated Business Impact

Expected 15-17% revenue growth through optimized sales strategies, 88% forecasting accuracy for inventory management, 0.9% reduction in stockouts, enhanced employee productivity via targeted recommendations, and improved customer satisfaction through AI-driven insights. The solution will position the client as a market leader with 30% faster decision-making capabilities compared to competitors.