AI-powered E-commerce & Marketing

AI-powered E-commerce & marketing optimization.

This project focuses on transforming a traditional online store into a smart, data-driven E-commerce platform powered by AI. We designed an intelligent recommendation engine, real-time customer journey tracking, and automated marketing campaigns that adapt based on user behavior. From product discovery to checkout, every interaction is optimized to boost conversions, increase average order value, and reduce drop-offs.

The solution combines personalized product feeds, dynamic offers, and automated campaign orchestration across email, SMS, WhatsApp, and social ads. Using behavioral analytics and machine learning models, the system continuously learns from traffic, purchase history, and engagement patterns to deliver the right message to the right user at the right time—without adding manual workload to the marketing team.

  • icon services : E-commerce & Marketing Automation
  • icon client : RetailNova
  • icon location : Bengaluru, KA, India
  • icon completed date : 10-03-2025

Project requirement

The client needed a unified AI-driven engine to increase online sales, reduce marketing wastage, and provide a consistent brand experience across all channels. The platform had to support personalized experiences at scale, handle peak-sale events, and give the management team clear, real-time visibility into campaign and sales performance.

  • Personalized product recommendations for every visitor.
  • Behaviour-based segmentation & audience scoring.
  • Abandoned cart detection and recovery journeys.
  • Multichannel campaign automation (email, SMS, WhatsApp).
  • Dynamic couponing and offer engine for campaigns.
  • Real-time sales, funnel & campaign performance dashboards.
  • CLV (Customer Lifetime Value) & churn prediction models.

Solution and result

We deployed a modular AI layer on top of the client’s existing E-commerce stack, integrating with their storefront, CRM, and marketing tools. The recommendation engine uses collaborative filtering and content-based models to serve context-aware suggestions on the home page, product pages, cart, and post-purchase flows. An automation engine coordinates marketing journeys, while the analytics dashboard surfaces live KPIs like conversion rate, ROAS, AOV, cart abandonment rate, and repeat purchase ratio.

Within the first 90 days, the client saw a measurable uplift in key metrics: higher add-to-cart rates, improved email/SMS campaign performance, and a strong increase in repeat customer revenue. Marketing effort shifted from manual campaign setup to strategy and creative, as the AI system handled personalization, timing, and targeting. The platform is designed to grow with new channels, products, and markets—making it a long-term engine for digital sales and marketing efficiency.