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Draft:Buzzin Spots: AI Toolkit for Social Commerce

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Buzzin Spots is an artificial intelligence toolkit for social commerce. Since the launch of ChatGPT, the AI tools landscape has exploded with a tool for every conceivable task. While large language models have been around for nearly a decade prior to this launch, ChatGPT made AI accessible and affordable for everyone. Value innovation comes from four fundamental factors: affordability, accessibility, simplicity and convenience. So, while this new AI revolution takes care of affordability and accessibility, AI tools still need to make life simpler and convenient for businesses by building one-stop solutions.[1]

Buzzin Spots is built as an agentic workflow-based solution[2] in order to tackle simplicity and convenience. This is how they intend to differentiate from point solutions[3] that are task-specific: create a video, create image from text, remove background, write code, etc;

Solving for workflows requires building a solution that tackle for an activity that is made up of multiple tasks. In the case of Buzzin Spots[4], the activity of focus is social commerce. That is, selling on social media platforms like Instagram, Facebook and WhatsApp. To boost conversions of social media platforms, the toolkit focuses on three activities: content creation, ad campaigns and customer engagement via rich conversation.

Inside the Toolkit

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The social commerce toolkit focuses on boosting productivity using artificial intelligence. The outcome is better:

  • Content, that is shoppable, searchable and social.
  • Campaigns, that are targeted to audiences using powerful first-party chat signals with simple prompts.
  • Conversations, that lead to frictionless checkouts using AI shopping assistant.

Content

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  • Shoppable content[5] has a one key element, appropriate call-to-actions (CTA) buttons. This is what is considered to impact conversions. But content-consumption platforms like Instagram keep these action buttons far and few. As the objective function of the Instagram algorithms is optimizing watch-time, conversion rates are not optimized. Automagic, a vision based cataloging tool, automatically detects relevant products in brand content and surfaces carousels with relevant call-to-actions (CTA) to make checkouts seamless.
  • Being searchable is the biggest challenge in a world where machine can churn out content autonomously! Listing products and thoughts are easy. Getting the right audience to see them is the challenge! As mentioned in the fascinating work The Inevitable (book) by author Kevin Kelly, the librarians in Alexandria and their cataloging skills were the search engines of their time. Using the power of vision, Buzzin Spots can automatically tag products based on fashion cues thereby improving product discovery on the website and on Instagram.
  • Content is created for social and in many cases, by listening on social. In 2025, social listening is going to be the key differentiator for brands that want to crack social. Buzzin Spots has a social listening tool, Dresscode, that is built specifically for fashion brands. Dresscode is a trend-spotting tool[6], that detects fashion influencers on Instagram wearing styles that match your product catalogues. It highlights these products, giving brands the opportunity to boost the right products at the right time. It also allows them to add these social cues into their captions. After all, fashion is all about "who is wearing what".

Campaigns

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Brands need to advertise and boost content in order to be discovered on Meta. With 3.065 million monthly active users on Meta[7], the platform has reach. But, the challenges have always been around audience targeting. As nearly 8 million advertisers use demographics targeting to filter their reach, Andrew Chen's 'law of click-throughs[8]' might be playing out on these traditional digital sales channels.

To curb these challenges, performance marketing experts are professing higher reliance on first-party data to reach relevant audiences on social media. Google Analytics and Meta Pixels have decades of experience tracking web activity and translating it into signals for precision targeting. For smaller brands, their web activity is only a fraction of their customer engagement. As social media platforms act as store-fronts, a majority of customer interactions might be in the form of messy unorganized chat data. This data is not used for targeting by advertising platforms, thereby leaving opportunity on the table.

Chatalog by Buzzin Spots is an audience creation tool that helps brands catalogue their messy chat data. Brands can cherry-pick precise audiences using the power of first-party chat data and the simplicity of natural language prompts, eliminating the need for data crunching all together.

Conversations

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On social platforms, Conversations are considered more powerful signals of intent than 'clicks'. Conversations are engaging only when they are powered by rich context. And it is context where AI assistants superseded their primitive traditional chatbots. Yet, customer buying journey in fashion is a visual experience, with visual context. With Buzz, an AI Shopping Assistant, the focus is verticalized journeys for fashion brands where visual references (i.e. something like that) are understood and contextual responses are generated. Buzz makes the customer buying journey shorter, faster and personalized; thereby improving ROIs by making checkout hassle-free and frictionless.

The Team

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Buzzin Spots was co-founded by Saifullah Rais and Tascha Eipe[9] in early 2022. The Founding team is based in Mumbai, India.

Saifullah is an ex-Googler with nearly 20 years of experience in building data-driven products across Finance, Ads, Payments (Google Pay) and ecommerce. He is an alumni of UC Berkeley School of Information, where he attained a Masters in Data Science (MIDS). He leads product and technology initiatives at Buzzin Spots.

Tascha Eipe leads business and marketing operations for the business. With 18 years of experience in the media industry, Tascha is considered the chief storyteller at Buzzin Spots and leads the business narrative for fashion brands globally.

References

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  1. ^ Hoops, Stephen. "3 Insights Behind Software Buying Trends from G2 + The B2B Institute". sell.g2.com. Retrieved 2025-01-08.
  2. ^ "Toolkit". www.buzzinspots.com. Retrieved 2025-01-08.
  3. ^ "Prediction Machines". Prediction Machines. Retrieved 2025-01-08.
  4. ^ BUZZIN SPOTS (2025-01-01). Buzzin Spots: Social Commerce AI Toolkit for Fashion Brands on Shopify. Retrieved 2025-01-08 – via YouTube.
  5. ^ BUZZIN SPOTS (2025-01-04). How to make Instagram Reels Shoppable with Buzzin Spots?. Retrieved 2025-01-08 – via YouTube.
  6. ^ Match fashion influencers to your products!. Retrieved 2025-01-08 – via www.youtube.com.
  7. ^ Kumar, Naveen (2025-01-01). "Facebook Users Statistics (2025) — Worldwide Data". DemandSage. Retrieved 2025-01-08.
  8. ^ "The Law of Shitty Clickthroughs at andrewchen". Retrieved 2025-01-08.
  9. ^ "Team". www.buzzinspots.com. Retrieved 2025-01-08.