Case Study
Modernizing AI-Driven
Analytics for Retail Insights
Revamp a B2B SaaS platform to deliver AI-powered consumer behavior analytics with enhanced usability and real-time reporting.
Objective
Revamp a B2B SaaS platform to deliver AI-powered consumer behavior analytics with enhanced usability and real-time reporting.
Define Goals and Audience
01. Collaborated with stakeholders to define user personas (retail managers, data analysts).
02. Designed a monochromatic UI with interactive dashboards and micro-animations for data visualization.
03. Built custom APIs to integrate third-party tools (e.g., Shopify, Salesforce).
04. Optimized job listing filters and advanced search functionality for enterprise clients.
05. Conducted A/B testing to refine user flows for complex data queries.
Results
- 40% faster data retrieval through optimized backend architecture.
- 200% increase in client onboarding due to simplified UX and onboarding tutorials.
- Recognized as a Top 10 Analytics Platform in industry reports for innovation.
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