tagaly 1.pptx

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Tagalys offers great options to optimize product sorting on categories. Apart from the automated sorting by tags, it gives options to sort by conditions or attributes. It's worth highlighting the great support which are fast reply times & efficient calls"

Business

ONLINE VISUAL PRODUCT MERCHANDISING
SOFTWARE

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.

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2. ONLINE VISUAL PRODUCT MERCHANDISING SOFTWARE

3. CONTACT US https://www.tagalys.com/

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.

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