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The Future of AI in Retail and Ecommerce - with Kausambi Manjita
Manage episode 425435887 series 1346873
In this episode of the e-commerce marketing podcast, Arlen Robinson interviews Kausambi Manjita, the Chief Product Officer at Mason. They discuss the future of AI in retail and e-commerce and how it can benefit businesses. Kausambi shares her insights on how AI technologies can help e-commerce businesses drive growth, increase personalization, and improve customer experience. She emphasizes the importance of understanding the specific needs and challenges of a business and finding AI solutions that can address those issues. Kausambi also highlights some interesting AI innovations in the beauty and personal care industry, such as skin tone finders and personalized cart challenges.
Key Episode Takeaways:
- AI technologies can help e-commerce businesses drive growth and increase personalization.
- Understanding the specific needs and challenges of a business is crucial when implementing AI solutions.
- AI innovations in the beauty and personal care industry, such as skin tone finders and personalized cart challenges, are improving customer experience.
- AI can augment and enhance the capabilities of sales teams in brick-and-mortar stores.
- Small e-commerce businesses should focus on the areas of their funnel that need improvement and evaluate AI solutions that can address those specific needs.
If you feel Kausambi and her team at Mason can help you, you may visit: https://www.getmason.io
For show transcript and past guests, please visit https://www.ecommercemarketingpodcast.com
Or on YouTube at:
https://www.youtube.com/channel/UC3PgT0NOGzpdPGQtBK0XLIQ
Follow Arlen:
Twitter: https://twitter.com/askarlen
Facebook: https://www.facebook.com/arlen.robinson.7
Instagram: https://www.instagram.com/arlenyohance/
LinkedIn: https://www.linkedin.com/in/arlenrobinson/
Past guests on the ecommerce marketing podcast include Neil Patel, Nemo Chu, Luke Lintz, Luke Carthy, Amber Armstrong, Kris Ruby and many more.
Thanks for listening. Be sure to subscribe and leave a review.
388 episodes
Manage episode 425435887 series 1346873
In this episode of the e-commerce marketing podcast, Arlen Robinson interviews Kausambi Manjita, the Chief Product Officer at Mason. They discuss the future of AI in retail and e-commerce and how it can benefit businesses. Kausambi shares her insights on how AI technologies can help e-commerce businesses drive growth, increase personalization, and improve customer experience. She emphasizes the importance of understanding the specific needs and challenges of a business and finding AI solutions that can address those issues. Kausambi also highlights some interesting AI innovations in the beauty and personal care industry, such as skin tone finders and personalized cart challenges.
Key Episode Takeaways:
- AI technologies can help e-commerce businesses drive growth and increase personalization.
- Understanding the specific needs and challenges of a business is crucial when implementing AI solutions.
- AI innovations in the beauty and personal care industry, such as skin tone finders and personalized cart challenges, are improving customer experience.
- AI can augment and enhance the capabilities of sales teams in brick-and-mortar stores.
- Small e-commerce businesses should focus on the areas of their funnel that need improvement and evaluate AI solutions that can address those specific needs.
If you feel Kausambi and her team at Mason can help you, you may visit: https://www.getmason.io
For show transcript and past guests, please visit https://www.ecommercemarketingpodcast.com
Or on YouTube at:
https://www.youtube.com/channel/UC3PgT0NOGzpdPGQtBK0XLIQ
Follow Arlen:
Twitter: https://twitter.com/askarlen
Facebook: https://www.facebook.com/arlen.robinson.7
Instagram: https://www.instagram.com/arlenyohance/
LinkedIn: https://www.linkedin.com/in/arlenrobinson/
Past guests on the ecommerce marketing podcast include Neil Patel, Nemo Chu, Luke Lintz, Luke Carthy, Amber Armstrong, Kris Ruby and many more.
Thanks for listening. Be sure to subscribe and leave a review.
388 episodes
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