The impact
Retail Engagement
0x
through AI-powered personalization
Operational Efficiency
0%
with intelligent recommendation workflows
Product Match Accuracy
0x
through machine learning-driven recommendations
Daily Users Supported
0L+
through a scalable digital platform
Overview
As its digital customer base rapidly expanded, a leading fashion brand in Mumbai faced a growing challenge: helping shoppers discover the right products from an ever-expanding catalog. With more than 5 lakh daily users, customers spent too much time searching, struggled to find products that matched their preferences, and often left without making a purchase.
The problem wasn’t a lack of choice – it was too much choice without personalization. Every missed recommendation represented a missed sale, lower engagement, and a shopping experience that felt increasingly generic.
NeoSOFT partnered with the brand to transform its digital commerce experience using AI & Analytics, Machine Learning, Cloud, and Data Engineering. By building an intelligent personalization platform that understood customer preferences, shopping behavior, and style choices in real time, NeoSOFT turned product discovery into a personalized shopping journey, driving 6x higher retail engagement.
The objective
From Generic Browsing to Personalized Shopping
The objective was to replace traditional product discovery with an AI-powered recommendation platform capable of delivering personalized shopping experiences at scale.
The initiative aimed to improve product discovery, increase customer engagement, enhance recommendation accuracy, and build a scalable digital commerce platform capable of supporting continuous business growth.