All case studiesCase study · Retail & eCommerce

AI-driven personalization for a retail commerce app +55% conversion uplift.

Re-architecting a high-traffic retail mobile app with AI personalization and predictive recommendations to lift conversion and retention.

Shopper using a retail commerce mobile app
Business impact
55%Conversion Uplift

Driven by AI personalization and intent-based product recommendations.

38%Increase in Repeat Purchases

Realized through behavioural segmentation and tailored re-engagement.

2.4xFaster Checkout

Achieved via a streamlined, optimized mobile checkout flow.

Sector
B2C Retail · Commerce App
Engagement
Dedicated AI Squad
Services
AI PersonalizationMobile EngineeringRecommendation SystemsPerformance Optimization
Project scope

Four pillars of execution.

A fast-growing retail commerce client needed to lift conversion and repeat purchases on their mobile app by replacing static merchandising with AI-driven personalization and predictive recommendations.

01

AI Personalization Engine

Real-time personalization that adapts product discovery to each shopper's intent and behaviour.

02

Predictive Recommendations

ML-driven recommendation models surfacing high-propensity products across the journey.

03

Mobile Experience Optimization

Streamlined flows and faster checkout engineered for high-traffic mobile shopping.

04

Secure Commerce Layer

PCI-compliant payment integration with fraud detection baked into the transaction layer.

Client overview

About the partner.

A high-growth B2C retailer ran a popular mobile app but struggled with flat conversion and low repeat-purchase rates driven by static, one-size-fits-all merchandising. They needed an AI-native personalization layer to turn browsing into buying.

The challenges

What was broken.

01

Static Merchandising

One-size-fits-all product feeds failed to reflect individual shopper intent, capping conversion.

02

Low Repeat Purchases

Without behavioural segmentation, re-engagement was generic and retention stalled.

03

Checkout Drop-off

A slow, multi-step checkout leaked sales at the most critical moment of the journey.

The VectovateAI solution

What we shipped.

01

Real-Time Personalization

We deployed an AI engine that personalizes product discovery in real time based on shopper intent and behaviour.

02

Predictive Recommendation Suite

We built ML recommendation models that surface high-propensity products across browse, cart, and re-engagement.

03

Optimized Checkout Flow

We re-engineered the checkout into a fast, streamlined flow that cut drop-off and accelerated purchase.

04

Secure Payments Layer

We implemented a PCI-compliant payment layer with fraud detection for safe, frictionless transactions.

Trending Technologies

Engineered on the right primitives.

6tools across
3 disciplines

02 tools

  • React Native
  • Node.js
The AI personalization VectovateAI built didn't just bump conversion — it changed how our customers shop with us. Repeat purchases climbed and checkout finally stopped leaking sales.
Let's build it

Let's Build Your Retail & eCommerce Solution Together.

We engineer AI-native retail experiences that turn browsing into buying — personalization, predictive recommendations, and frictionless checkout that scale with your business.