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 marketing analytics now available to 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 receive an accurate, visual answer without touching a report or writing a query. The usability barrier that was limiting market expansion has been removed.
Two to three production-representative dashboards built across internal and client-facing perspectives, giving AdAmplify a working analytics layer. that covers campaign performance, customer acquisition, and purchase probability in a single interface.
End-to-end webpage optimization pipeline validated on 70 to 80 pages with corresponding performance metrics, demonstrating feasibility at scale.. Each page analysis produces ranked, AI-generated recommendations covering both content and visual elements, with thumbnails providing full context for every suggestion.
The POV validated three of AdAmplify's core growth objectives simultaneously: expanding the addressable market to smaller e-commerce businesses. improving customer retention through proactive AI-driven recommendations, and differentiating the platform with capabilities competitors cannot match on AWS.
A clear production roadmap and a trained internal team mean the POV results do not sit in a folder.. AdAmplify has the architecture, the documentation, and the team capability to take both systems to production.
Built on AWS
The production environment runs on 14 first-party AWS services. Delivered under our AWS Generative AI Services Competency competency.
What's next
Production deployment of Q for QuickSight across the AdAmplify platform; full-scale WebPage Optimization pipeline for the complete customer base; embedding of both capabilities into the AdAmplify product