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Pluriza x Luma Beauty
Sentiment Intelligence Engine
Real-time customer sentiment analysis across support, reviews, and social channels
Luma Beauty
Industry
Intelligence Layer
Services
Data ScienceML EngineeringDashboard Design
Year
2025
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Overview
Real-time customer sentiment analysis across support, reviews, and social channels We worked closely with Luma Beauty to understand their unique challenges and deliver a solution that exceeded expectations, driving measurable results from day one.
The Challenge
1
Operational Complexity
Existing processes were manual, error-prone, and couldn't scale with the growing business demands.
2
Integration Gaps
Critical business systems were siloed, creating data inconsistencies and slowing decision-making.
3
Time to Value
The team needed fast results without disrupting day-to-day operations during implementation.
Our Approach
We followed our proven delivery methodology — discover, design, build, and iterate — with tight feedback loops at every stage.
1
Discovery & Scoping
Deep-dive workshops to map requirements, constraints, and success metrics.
2
Architecture & Design
System design, data modeling, and UX wireframes reviewed with stakeholders.
3
Iterative Build
Two-week sprints with demo sessions ensuring alignment and early feedback.
4
Testing & Launch
Comprehensive QA, load testing, and a phased rollout to minimize risk.
Key Screens
Platform overview dashboard
Analytics and performance metrics
Configuration and settings interface
Workflow automation builder
Results
40%
Efficiency improvement
3x
Faster processing
99.9%
System uptime
< 2mo
Time to ROI
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