How an AI-backed recommendation system can help increase revenue for your online store

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About the webinar

Picture this: A customer logs onto your E-commerce platform to purchase an item. As soon as they put in the product details into the search bar, they are bombarded with a long catalog of various items that they have to painfully sort through. High chance that they leave without completing a purchase, not sure of what they should pick.

Webinar on AI backed recommendation system

Product recommendation systems must become way better - Platforms need to understand the shopper, and provide them with best-fitting tailored products. This can be way more challenging for retailers with vast catalogs or the ones with only slight variations in products.AI/ML model for 'Recommendations' generated using Skyl.ai can help E-commerce platforms to provide a superior digital-shopping experience to its customers.

This webinar will showcase a live demo of how to build such a robust recommendation model in hours.

What you will learn

How e-commerce companies drive sales through AI powered product recommendation engines

Challenges faced in ML automation and how to overcome those using a unified ML platform

Live Demo: Demo on how to create a product recommendation system using Skyl.ai end-end ML automation platform

Speaker(s) & Panelist(s):

speaker

Nisha Shoukath

Co-founder and COO at Skyl.ai

COO & Technology leader with over 20 years of experience in Product development, Artificial Intelligence and Machine Learning business strategy and acceleration. Consultant to Fortune 100 organizations across IT, Telecom, Manufacturing, Healthcare, Construction, Pharmaceuticals, Retail, Biotechnology, Banking and Insurance sectors to deliver business impact.

speaker

Shruti Tanwar

Lead - Data Science

Extensive experience working at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.

speaker

Bikash Kumar Sharma

Chief Technology Officer at Skyl.ai

CTO & Software Architect with close to 15 years of experience whose passion lies in building great products while enabling others to perform their roles more effectively. Lead at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.