Episode description

Long wait times and slow checkout lines have become all too familiar in retail stores. With each passing second, customers grow increasingly frustrated, leading to a negative impact on customer satisfaction, store business, and reputation. In today's fast-paced world, shoppers no longer tolerate such experiences.

Fortunately, recent advancements in AI have opened doors to developing solutions that can significantly improve store operations and enhance customer journeys. But lack of in-house development resources poses a challenge for many retail stores looking to implement these innovative solutions.

In this podcast, we explore the shifting landscape of customer expectations, innovative ways AI is used to address retail challenges, and skills and knowledge necessary to build, deploy, and implement AI across retail stores.

Join us as we explore these ideas with:
Ria Cheruvu, AI Software Architect and AI Evangelist, Intel
Nicole O’Keefe, Senior Product Marketing and Operations Manager, Pathr.ai
Christina Cardoza, Editorial Director, insight.tech

Ria and Nicole answer our questions about

• Changing customer expectations and retail challenges
• How retailers can become more actionable with AI
• Building, developing, and deploying AI retail applications
• AI’s business value and benefits for retailers
• Tools necessary for developing AI applications 
• Where developers can get started building solutions
• Successfully implementing AI solutions in stores
• Creating an end-to-end retail operations solution
• Continuing the success of AI in the retail space

Related Content

To learn more about developing retail technology, read The Future of Retail Technology Is Spatial Intelligence, visit Intel’s AI Reference Kits, and join the OpenVINO™ discussion on GitHub to share your experiences. For the latest innovations from Intel and Pathr.ai, follow them on Twitter at @intel and @pathr_ai and LinkedIn at Intel Corporation and Pathr.ai.