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Development of a User-Friendly, Scalable E-commerce Analytics Platform with AI-Driven Insights

techmagic

eCommerce

Advertising & marketing

Information technology

Key Challenges in Existing Platform

The existing platform required Acorni team intervention for client operations, lacked modern UX design, and faced scalability limitations in its AWS Lambda-based data pipeline. Clients needed independent usage capabilities, enhanced performance, and seamless integration with additional e-commerce ecosystems.

About the Client

An intelligent platform empowering brands to scale digital sales channels through data-driven analytics, advertising, and performance optimization tools.

Strategic Project Goals

Transition from consulting model to self-service SaaS platform
Improve system performance by 15x through architectural optimization
Implement automated machine learning insights for sales and marketing data
Enable seamless multi-platform integrations (Shopify, WooCommerce, etc.)
Establish proactive security management through automated testing tools

Core System Capabilities

Interactive data dashboards with Highcharts visualizations
Automated Amazon DSP/WooCommerce/Shopify integrations
Predictive analytics using machine learning models
Customizable advertising campaign automation
Role-based access to multi-channel sales performance metrics

Technology Stack Requirements

Angular for frontend development

AWS Cloud Development Kit (CDK)

AWS Lambda serverless architecture

Node.js backend services

Snowflake data warehouse integration

Critical Third-Party Integrations

Amazon DSP advertising API
Shopify commerce platform
WooCommerce ecosystem
Facebook marketing APIs
Snowflake data analytics

Operational Requirements

Horizontal scalability for 300K+ daily Lambda invocations
99.95% system uptime SLA
Penetration-tested security framework
Cross-regional data compliance (GDPR/CCPA)
Real-time data processing latency <500ms

Anticipated Business Outcomes

Enables Acorni's transition to SaaS revenue model with 15x performance gains, automated advertising optimization reducing manual work by 70%, and expanded market reach through multi-platform integrations. Machine learning capabilities will enable predictive analytics for 80% of current manual reporting tasks.