Boxx.ai is an AI startup that develops personalization engines to improve customer experiences on e-commerce websites. Their algorithms learn from customer interactions and feedback to predict the most relevant products for each customer. This results in a 40% increase in sales, time on site, and click rates. Boxx.ai works with major Indian e-commerce companies and integrates easily with sites through APIs and plugins.

1. Shopping is inherently an intimate task – you spend your hard-earned money to buy
your dreams. The shopkeepers of yesteryears understood this – they would try to
understand your needs, your passions, your context and then present the most
suitable products for you, while incorporating your active and passive feedback every
time.
However, with the advent of e-commerce, the scale of shopping changed, both in
terms of number of customers and products. And with it, the experience became more
transactional, removing the magic out of shopping.
Ajay Kashyap, Prakhar Raj and Shitiz Bansal are batch mates from IIT. They co-
founded Boxx.ai to work with e-commerce companies for recreating this magic with
the help of Artificial Intelligence. Speaking of their AI-driven product, Kashyap
explains, “Our algorithms and powerful compute engines are designed to know your
customers, remember their past interactions, understand their context, predict the
most relevant and personalized products, and then further keep learning and refining
the same in real-time by gauging their reactions; and all of this is done for millions of
customers, across tens of thousands of products within 200 milliseconds.”
From a business perspective, such personalized experiences result in customers
visiting the e-commerce site more often, spending more time and buying more often.
40% Increase in the Top line Powered by Powerful Algorithms
Boxx.ai is the world’s only plug-and-play Omni channel personalization engine. It
leverages the power of AI to enable the e-commerce players touch their end
customers with a magical shopping experience, while driving a business benefit of 40
percent increase in top line.
Based in Bangalore, Boxx.ai clientele includes leading names in e-commerce industry
such as Nearbuy, TataCliq, Jabong, Clovia, Voylla, ABOF, Spencers, FabIndia,
Caratlane and Zivame.

2. Divulging Boxx.ai’s methodology, Kashyap explains, “Boxx.ai’s ever-learning
algorithms find hidden patterns in the data and identify the most relevant and
personalized products for each customer based on their probability to click or buy.
The algorithms are constantly learning and genetically evolving to continually improve
the predictions in real-time with any new piece of data made available to it, like a new
click, purchase, search or filter. The algorithms use neural network to enable real-time
learning and ease to keep adding new feature-sets to cater to different use-cases.”
Boxx.ai’s algorithms start with industry-standard collaborative-filtering and content-
based recommendation algorithms, used with product embedding to make it scalable
to large amounts of data.
Next, the context layer is added to cater to the nuances in choices based on seasons,
date of month, day of week, festivals, events, location and weather. For example, the
machine would understand that the choice of apparel for a Delhi girl would be very
different from a Chennai girl, and would also keep evolving with seasons, weather and
the latest fashion trends.
Boxx.ai is the world’s only plug-and-play
omnichannel personalization engine
Further, the temporal layer is added to cater to recency of interactions, order of
buying products, and periodicity of purchases in shopping. For example, the machine
would learn that Mrs. Chaddha buys 10 kg atta every month, which means that she
probably has a family of 5, and would require 1 kg salt every 45 days.
Omni Channel Reach
Kashyap continues, “Further, armed with the knowledge of most personalized and
relevant products for each user, the product is then able to communicate the same
across every touch-point - on the website or app, with digital marketing and
advertisements”.
For instance, on the website of an e-commerce portal, on any page, EACH user is
shown only the most personalized and relevant products, reordered specifically for
her in the order of her probability to buy, thus, typically increasing the conversions by
40%.

3. Similarly, when an e-commerce company send an emails or notifications, with
Boxx.ai’s AI capabilities, they are able to personalize each and every communication to
contain only the products that the corresponding user is most likely to buy, thus
increasing the click rates by 40%.
Further, e-commerce companies are able to personalize each advertisement (on
Facebook, Instagram or Google ad network) to each customer with the most
personalized products, thus increasing the ROI from advertisements by 40%.
Ease of Integration and Use
Another strength that differentiates Boxx.ai is their immense focus on providing a
smooth experience in integrating the product with the business. Kashyap elaborates
“We have been able to develop the product with multiple integrations options,
including API’s, SDK’s in all languages, Magento Plugin and Google Tag Manager
connector. This helps the clients integrate the product and start seeing the results
within a week.”
Boxx.ai’s feature-rich application allows complete cross-channel campaign
management capability from the interface itself. Further, the application’s tracking
and reporting abilities complete the product offerings with the provisions to view and
track real-time conversion funnel and drill downs.