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Transforming the Retail Industry Using AI with Mansoor Kazi

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Manage episode 332988235 series 3314042
Content provided by Heartcast Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Heartcast Media or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Artificial Intelligence (AI) algorithms have paved the way for the retail industry to gain great insights into consumer behaviors as well as other market needs. This digital transformation in the retail sector was accelerated as a result of the COVID-19 pandemic, making AI-powered technology a necessity for these companies.
In the eighth episode of the Decisions Now podcast, we are joined by Mansoor Kazi, partner at Bain, who works specifically in the retail space. Co-hosts Rigvinath Chevala, EVS CTO, and Erin Pearson, our VP of Marketing, talk with Kazi who has clients ranging from Walmart to Food Lion, Harris Teeter, and more, as he shares an insightful conversation on AI, data, and analytics.
📌Key Takeaways
✔️How retailers can use data ✔️The challenges with disparate data sets and more ✔️Why you should blend AI with human expertise and how it benefits you ✔️The three things retailers can focus on when kick-starting their analytics-powered AI journey.
📌Quote Takeaways in this Episode
📣“Retailers have massive amounts of data and it's becoming more and more important in terms of driving value for the retailer,” Kazi said. “Because if you think about how consumers are shopping and what drives preferences, one of the underlying trends that we're seeing is, from consumers is the need to have personalized, curated experiences.”
📌The Speakers in This Episode
🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com
🎙️Erin Pearson | Director GTM, Evalueserve www.evalueserve.com
🎙️Mansoor Kazi | Partner, Bain & Company https://www.bain.com/
  continue reading

29 episodes

Artwork
iconShare
 
Manage episode 332988235 series 3314042
Content provided by Heartcast Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Heartcast Media or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Artificial Intelligence (AI) algorithms have paved the way for the retail industry to gain great insights into consumer behaviors as well as other market needs. This digital transformation in the retail sector was accelerated as a result of the COVID-19 pandemic, making AI-powered technology a necessity for these companies.
In the eighth episode of the Decisions Now podcast, we are joined by Mansoor Kazi, partner at Bain, who works specifically in the retail space. Co-hosts Rigvinath Chevala, EVS CTO, and Erin Pearson, our VP of Marketing, talk with Kazi who has clients ranging from Walmart to Food Lion, Harris Teeter, and more, as he shares an insightful conversation on AI, data, and analytics.
📌Key Takeaways
✔️How retailers can use data ✔️The challenges with disparate data sets and more ✔️Why you should blend AI with human expertise and how it benefits you ✔️The three things retailers can focus on when kick-starting their analytics-powered AI journey.
📌Quote Takeaways in this Episode
📣“Retailers have massive amounts of data and it's becoming more and more important in terms of driving value for the retailer,” Kazi said. “Because if you think about how consumers are shopping and what drives preferences, one of the underlying trends that we're seeing is, from consumers is the need to have personalized, curated experiences.”
📌The Speakers in This Episode
🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com
🎙️Erin Pearson | Director GTM, Evalueserve www.evalueserve.com
🎙️Mansoor Kazi | Partner, Bain & Company https://www.bain.com/
  continue reading

29 episodes

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