GRIT Ed. 11 | 5G, Web3, NFTs... - Magazine - Page 23
Machine Learning
A University of Toronto graduate with
a background in statistics, quantitative
finance, and machine learning, has made
waves in the e-commerce industry as the
co-founder & data scientist at SnapWrite
ATHIYA RASTOGI
ON MACHINE LEARNING, E-COMMERCE &
EMPOWERING RETAILERS WITH AI
Co-Founder & Data Scientist
SnapWrite AI
Next 36
2022
Linkedin.com/in
/AthiyaRastogi/
A proud alumnus of the Next 36 program and having founded CounterPoint,
the first UTSC business magazine, Rastogi’s groundbreaking venture leverages
machine learning to revolutionize product description generation and
management, helping online retailers automate product feeds, optimize
search and recommendations, and streamline reselling. Rastogi, who has
previously worked as a data scientist with brands like Unilever, Abnormal
Beauty Company, and Mars, shares her insights on machine learning, the
Machine Learning at the Heart of SnapWrite AI
Rastogi explains how machine learning is integrated into SnapWrite AI’s core
technology: “Our machine learning algorithms are trained on a large dataset of
images and corresponding keywords representing a diverse range of products,
styles, and brands.” This innovative approach automates the product description
creation process, saving time for merchandising teams and allowing them to
focus on bringing products to market faster and more efficiently.
The Future of Machine Learning in the E-commerce Industry
Discussing the role of machine learning in e-commerce, Rastogi envisions a revolutionary shift: “eCommerce industry is about
to see a revolutionary shift where small businesses will fully adopt technology and will have the opportunity to integrate
artificial intelligence into their flows because of lower costs.” She believes machine learning will drive personalization, supply
chain optimization, and improved inventory management, ultimately reducing waste and minimizing costs for e-commerce
companies.
Staying Ahead with the Latest Technology
Rastogi emphasizes the importance of maintaining a close relationship with customers and subject matter experts to ensure
SnapWrite AI’s algorithms stay up-to-date. She also highlights the solid technical background of the founding team, which
possesses expertise in data science, software engineering, and computer vision. As SnapWrite AI expands, Rastogi plans to
focus on enhancing the user interface and recruiting innovative thinkers as team members.
Triumphing Over Challenges and Celebrating Success
“Our machine learning
algorithms have helped
resell over 10,000
items in the last 6
months, saving them
from landfills.”
In the last six months, SnapWrite AI’s biggest challenge has been
meeting the growing demand from various e-commerce segments.
The company has automated internal processes and expanded
its team to tackle this. With SnapWrite AI’s help, resellers and
merchandisers have seen their product documentation process
speed up by up to 10 times and have experienced improved search
functionality and product recommendations on their websites.
What Everyone
Learning
Should
Know
About
Machine
Rastogi defines machine learning as “a computer technology
that allows machines to learn patterns and make predictions.”
She explains that machine learning can help e-commerce brands
enhance customer experience, make informed decisions, and gain
a competitive edge. For the average person, machine learning can
simplify life by providing everyday predictions.
As SnapWrite AI continues to harness the potential of machine
learning, the e-commerce industry is set for remarkable advancements
in personalization, supply chain optimization, and overall efficiency.
SPRING 2023
23