Tagalys was built on the learnings of building & scaling an online store. We were not very successful as retailers, but we learnt a lot about online retail – the challenges, costs & pain points.
4. ABOUT US
Tagalys was built on the learnings of building & scaling an online store. We were not very
successful as retailers, but we learnt a lot about online retail – the challenges, costs & pain
points.
In 2011, Antony resigned from his management consulting job at Deloitte in New York to embark
on his entrepreneurial journey as an online retailer. Due to his management consulting
background, he sought technology services from Palani (PC), who had his own firm serving
hundreds of customers across verticals.
During this venture, both Antony & PC realized that the e-commerce platforms had no clue what
products to display to visitors. Antony worked with PC & team, writing the code to start
collecting analytics and building prediction models to determine what products to show
visitors.
Fortunate or not, this venture hit the graveyard of startups, for Tagalys to be born. Palani joined
Antony and they worked to build an intelligent engine that learns visitor interest to
merchandise online stores effectively.
“To become the worlds best Merchandising Engine for online retail”
Today, we process over half a billion retail data points a month giving us insights across verticals.
We do not want to be a product, but your extended partner that collaborates with you.