Mason: The AI Shopping Copilot connecting brands to shoppers in Asia & worldwide
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Pioneering the future of AI-powered shopping: Mason team is on the quest to help global brands fight the “marketplace-tax”
INDIA – 12 May 2023 – While entrepreneurs today can launch their business fast with Tiktok, Shopee, or Lazada – creating a profitable business is a whole different challenge.
Omnichannel listings, Cross-Border selling, mixed-model Attribution, Segmentation, Experimentation — all these suddenly take brands away from the fundamentals of business, which is understanding what matters to shoppers and building great products for them.
As a result, brands have become hostage to platforms and marketplaces. Customer acquisition costs have shot up by more than 60% across all categories. Meanwhile, “marketplace taxes” are increasing every year – and the Shopees, Lazadas et al. pocket 30-50% of a brand’s online sales today.
What retail needs is a transformative lens. And eliminating the middle man brings that sea change into effect.
Enters AI Shopping Copilot — Mason
Mason, a leading AI infrastructure player in Asia, emerged from this insight. The team at mason has worked across scaled marketplaces like Alibaba, Paytm, and Flipkart, and now, they’re stepping up to help sellers run profitable independent brands.
With over 50+ AI-powered apps and tools, Mason empowers brands to take control of their revenue and accelerate sales, ensuring they stay ahead of the game.
In just over two years since launch, Mason has helped 10,000+ global brands connect the browse-to-buy journey and hence grow their sales by as much as 100% in just 6 months. The shopping copilot nudges shoppers with AI-powered hyper-personalized shopping journeys, including capabilities such as dynamic offers, generative product bundles, real-time sales, and more that are geared to ‘excite’, ‘decide’, and ‘buy.’
The Result?
With Mason’s AI-powered solution, a typical store improves average order value by 23% in 30 days, improves session time by 17%, and improves sell-through by 35% in just 60 days.
Some of the major categories – Fashion & Apparel, Beauty & Grooming, Health & Fitness, Home & Furnishing, and Petcare are the fastest growing segments. Founders, growth heads & eCommerce leaders use Mason today to run their AI-powered shopping experiences on autopilot.
Sports & Fitness Exchange is the go-to brand for over 50,000+ fitness enthusiasts globally. With mason, they were able to recover abandoned carts worth a substantial amount in revenue—more than $17,000.
A fast-growing food supplements brand, Protein Chef is powered by Mason’s personalized AI-powered quizzes that both educate and reward visitors in exchange for opt-in data. Today, more than 80% of visitors are engaged with the interactive quiz, leading to increased awareness and motivation to buy through rewards & discounts.
The Road Ahead:
Mason’s founders, Barada Sahu & Kausambi Manjita, have ambitious plans, aiming to raise $100 million over the next two years to build the future of shopping. An Autonomous Shopping stack centered around the consumer is in the works, and the company projects to reach $3 billion GMV by 2023, managing $100 billion GMV by 2026. Its future capabilities include on-demand creator shops, omnichannel group shopping, and cross-border shopping.
About Mason:
Mason is a venture-backed ecommerce tech startup based out of Bangalore, India – that brings an all-in-one high-performance AI shopping engine to a brand’s own store.
Backed by top-tier investors like Accel and Lightspeed, Mason’s autonomous shopping engine powers a range of use cases, including Generative product listings, Live price drops & discounts, Personalized product recommendations, Real-time cohort-specific product bundles and; Autonomous reminders and conversion flows. So far, 10,000+ merchants globally are utilizing Mason’s AI Shopping Copilot, and the company expects to double that number by the end of this year.
For more information, please contact:
Riya Handique at riya@getmason.io
This press release was published as it was received from our partner, without any editing from the Tech in Asia team.
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