A marketing analytics and attribution SaaS platform for e-commerce came to Armakuni for aI-powered data accessibility: natural language querying of analytics data plus AI-driven webpage optimization recommendations for e-commerce businesses.
The challenge
Two concurrent POV engagements won through a rapid proof-of-concept that demonstrated ease of use, system scalability, and AI-powered insights. AWS AI/ML expertise and proven speed in MVP delivery built leadership confidence. Strategic alignment on accessibility and market expansion sealed the win.
Scale: SaaS platform serving e-commerce businesses; integrates with Shopify, WooCommerce, and major ad platforms; data stored in AWS Aurora Serverless.
What we built
Armakuni delivered aI-powered data accessibility: natural language querying of analytics data plus AI-driven webpage optimization recommendations for e-commerce businesses. The engagement ran as two fixed-scope Proof of Value SOWs: Q for QuickSight POV and WebPage Optimization Recommendation POV. AWS funded the work at $5,100.
The outcomes
5 measurable outcomes shipped across the engagement. The ones that moved the business the most:
Natural-language querying of complex analytics now reaches non-technical users for the first time. A CEO or marketing lead can ask a plain-language question about campaign performance or customer lifetime value and get an accurate, visual answer without touching a report or query.
Two to three production-representative dashboards span internal and client-facing views. The platform now has a working analytics layer covering campaign performance, customer acquisition, and purchase probability in a single interface.
An end-to-end webpage optimization pipeline was validated on 70 to 80 pages. Each page analysis produces ranked, AI-generated recommendations covering content and visual elements, with thumbnails giving full context for every suggestion at proven scale.
The POV validated three core growth objectives at once. It proved expansion into smaller e-commerce businesses, better retention through proactive AI recommendations, and differentiation with capabilities competitors cannot match on AWS.
A clear production roadmap and a trained team mean the results do not sit in a folder. The platform now holds the architecture, the documentation, and the team capability to take both systems all the way to production.
Built on AWS
The production environment runs on 14 first-party AWS services. Delivered under our AWS AI Services competency.
What's next
Production deployment of Q for QuickSight across the A marketing analytics and attribution SaaS platform for e-commerce platform; full-scale WebPage Optimization pipeline for the complete customer base; embedding of both capabilities into the A marketing analytics and attribution SaaS platform for e-commerce product.