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Innovation Lab

Magento Innovation Awards

We worked on set of innovative cutting edge innovations in the previous year and got showcased several times in Magento Innovations Lab and for six times in a row

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Webkul at Adobe Summit
2020 – Breakout Session

Magneto Live

Webkul at Magento Live
2019 – Keynote Speaker

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Fighting COVID-19

Webkul at Magento Imagine 2019
General Session – Sneaks

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Supporting Humanity

Virtual Measurement

We are 6 times Magento Innovations Lab Winner

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Magento Innovation 2021
PWA WhatsApp Shopping Assistant

Webkul built a personalized commerce experience on top of Magento PWA Studio – a personalized shopping assistant, right inside WhatsApp. Customers can make a purchase within WhatsApp, using Magento PWA Studio.

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Magento Innovation 2020
PWA POS with MSI

MSI-based PWA POS has separate sources for POS and website which makes it easy to manage separate inventories for both online and offline stores. MSI-based PWA POS is ready to use web-based POS which doesn’t require any large-scale infrastructure so, it is the first choice for SMEs.

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Magento Innovation 2019
PWA Scan and Go

Webkul again got recognized for the PWA Scan and Go that utilizes the Magento PWA Studio.
PWA Scan and Go approach lets shoppers scan and bag items as they shop from the retail store and pay directly using their mobile device avoiding long waiting queues at the time of checkout.

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Magento Innovation 2019
Mobikul AR Product Navigator

Webkul again got recognized for the Mobikul AR Product Navigator that utilizes the Magento tech stack and ARKit. Retail shoppers can now easily search and navigate to product locations via a mobile application.

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Magento Innovation 2019
AR Product Sizing

Webkul has been mentioned for its bleeding edge Virtual Measurement implemenation using augmented reality technology in its eCommerce mobile app builder.

It lets the end-users to measure the size of the physical objects on the go.

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Magento Innovation 2018
Machine Learning Search

Webkul was recognized for Mobikul Text/Image Detection Search which utilizes the core of machine learning.

It makes it easier for the end-users to search with ease, as it provides an interface to the users where they can search for products, either by scanning text or the physical product itself.

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