Client Background
The client is one of India’s fastest-growing e-commerce platforms, offering a wide range of lifestyle and household products. With millions of daily visitors, thousands of SKUs, and rapid order volume, the platform generates massive datasets through customer interactions, product searches, browsing behavior, and purchase journeys.
As the business expanded, leadership wanted to move beyond standard analytics and leverage AI and Machine Learning to personalize customer experiences, automate operations, and improve marketing efficiency.
Challenges
Despite strong digital adoption, the client faced limitations that restricted the full use of their data.
Limited Personalization Capabilities
Product recommendations were generic, resulting in lower click-through and reduced session engagement.
Manual Decision-Making
Pricing, inventory, and campaign decisions were handled manually, slowing down response to demand fluctuations.
Siloed ML Experiments
Different teams ran isolated ML trials without a unified framework, leading to inconsistent outputs and duplicated efforts.
High Customer Drop-offs
Lack of behavioral prediction made it difficult to identify churn-prone users or optimize their shopping journey.
Inefficient Content Categorization
Product tagging and classification were done manually, delaying product uploads and catalog enrichment.
Solutions
Wisecor Transformations implemented a comprehensive AI & ML Enablement Framework tailored to the client’s business goals.
AI Assessment & Strategy
Conducted an AI maturity audit, mapped business use cases, and built a roadmap for scalable model deployment.
Predictive Modeling & Customer Segmentation
Developed ML models to predict user purchase intent, churn probability, browsing patterns, and high-value segments.
Recommendation Engine Consulting
Designed a personalized product recommendation strategy using collaborative filtering and behavioral signals.
NLP for Product Categorization
Implemented Natural Language Processing (NLP) guidelines to automate product tagging, description enrichment, and attribute extraction.
Computer Vision Framework
Advised on an image-based quality check process that identifies incorrect catalog images, missing attributes, and low-quality product photos.
ML Governance Guidelines
Provided recommendations for model monitoring, versioning, data quality checks, and responsible AI practices.
Results / Impact
Through Wisecor’s AI & ML Consulting Services, the client achieved:
Technology Stack
(Consulted & Recommended)
Python-based ML Stack
Computer Vision & NLP Models
Model Monitoring & Governance Frameworks
Client Testimonial
Wisecor Transformations helps consumer brands, e-commerce companies, and large enterprises harness the power of AI and Machine Learning.
From personalization to predictive modeling and automation, we enable organizations to scale intelligently and grow with future-ready AI solutions.