ON DEMAND • Podcast Episode

Multimodal AI in Commerce: Building Trust in Shopping Experiences

A candid conversation with Mbere Monjok, Program Lead in Multimodal AI at Google, on generative 3D, visual search, immersive shopping, AI product strategy, customer trust, and what it takes to build AI-powered experiences that create real value for users.

FEATURED GUEST

Mbere Monjok

Our featured guest

Mbere Monjok

Program Lead, Multimodal AI, Google

Mbere Monjok leads multimodal AI initiatives within Google’s commerce organization, focusing on how generative AI can improve product discovery and shopping experiences.

Her work spans emerging technologies such as generative 3D, visual experiences, and AI-powered commerce innovation.

She also covers:

  • How multimodal AI is changing online shopping experiences
  • Why customer trust matters as much as AI capability
  • The challenges of testing and scaling AI-powered products
  • How AI can improve product discovery and purchase confidence
  • Why founders should focus on outcomes, not AI hype

Why this conversation matters now

AI is moving from internal productivity tools into customer-facing experiences. As businesses explore more engaging digital journeys, leaders need to understand how to build AI products users can trust.

01.

How do we build AI experiences customers actually trust?

02.

What role will multimodal AI play in ecommerce and digital commerce?

03.

How should product teams evaluate AI quality beyond basic functionality?

04.

What happens when AI systems fail outside ideal user scenarios?

05.

How can organizations reduce bias while scaling AI products?

06.

What separates successful AI products from AI-powered gimmicks?

What you'll learn in this episode

After unlocking the full podcast, you’ll get expert insights on multimodal AI, customer-facing products, trust, and digital commerce.
01.

How multimodal AI is transforming product discovery and online shopping

02.

Why user trust should be designed into AI products from the beginning

03.

How product leaders balance vision, customer feedback, and limited data

04.

Why testing edge cases matters as much as testing ideal scenarios

05.

How generative AI can improve customer confidence before purchase

06.

Why representation and diversity matter in AI product development

07.

Why AI should support a value proposition, not become the value proposition

Who this episode is for

CEOs and founders Product leaders CTOs and technology leaders Retail and ecommerce leaders Marketing and growth leaders AI and innovation teams Teams building customer-facing AI products

Our host

JocelynHoule

Jocelyn Byrne Houle

AI and data product leader

Jocelyn Byrne Houle is an AI and data product leader, entrepreneur, and investor who has built and scaled transformative technology initiatives across finance, cloud governance, and AI security. She founded Deploy Forward AI to help enterprises adopt AI with strong governance, operational discipline, and long-term organizational ownership.

A preview of the key takeaways

01.

AI experiences must solve real customer problems

Mbere explains that successful AI products are built around user outcomes, not technology capabilities. Customers care about solving problems, not the underlying model architecture.

02.

Multimodal AI creates richer digital experiences

From generative 3D models to immersive product exploration, multimodal AI can help customers better understand products before making purchase decisions.

03.

Trust is a product feature

Users need confidence that AI systems are accurate, fair, and transparent. Trust cannot be added later. It needs to be designed into the experience from the start.

04.

Product quality extends beyond the happy path

AI systems need to work in edge cases, unusual scenarios, and diverse user environments, not only in ideal situations.

05.

Founders should avoid leading with AI

Customers buy outcomes, efficiency, convenience, confidence, and better experiences. AI may support the solution, but it should not be the only reason a product exists.

Why tkxel is sharing this conversation 

 At tkxel, we help growing businesses adopt AI, modernize digital products, improve customer experiences, and build scalable technology solutions.

This episode is especially relevant for leaders exploring how AI can move beyond automation and become part of customer-facing experiences. It highlights the product, design, trust, and business decisions that determine whether AI creates lasting value.

WHERE TKXEL BRINGS CONTEXT

1 AI strategy and use case selection 2 Customer experience modernization 3 Digital commerce and product engineering

RECOGNIZED BY

Key concepts covered in this podcast

1

Multimodal AI

Explains how AI can combine text, images, visual context, and 3D experiences to create richer product interactions.

2

AI in commerce

Covers how AI can improve product discovery, exploration, personalization, and purchase confidence.

3

Generative 3D

Looks at how immersive product visuals can help customers evaluate products before buying.

4

Customer trust

Shows why trust, accuracy, transparency, and fairness are critical for customer-facing AI products.

5

AI product quality

Explores why teams need to test AI systems beyond ideal user journeys and common scenarios.

6

Responsible AI design

Covers how teams can think about bias, representation, user impact, and product accountability.

7

Outcome-led AI strategy

Explains why AI should support a clear customer or business outcome instead of becoming the entire value proposition.

Frequently Asked Questions (FAQs)

Is this episode only for ecommerce businesses? Expand FAQ Collapse FAQ
No. While many examples relate to commerce and shopping experiences, the lessons around AI product development, trust, quality, and customer adoption apply across industries.
What do I get after accessing the podcast? Expand FAQ Collapse FAQ
You get access to the full podcast episode and transcript.
What is the core focus of the episode? Expand FAQ Collapse FAQ
The discussion focuses on multimodal AI, AI-powered customer experiences, product trust, responsible AI, and the future of digital commerce.
Why is this podcast gated? Expand FAQ Collapse FAQ
It is positioned as a premium resource for leaders researching AI product strategy, digital innovation, and customer experience transformation.
Can this help teams building AI products today? Expand FAQ Collapse FAQ
Yes. The episode provides practical insights for product leaders, founders, and technology teams designing AI-powered products and customer experiences.

Access the full podcast

We'll only use your details to send this resource and relevant insights from tkxel.

privacy-icon

We value your privacy

tkxel uses essential cookies to ensure the proper functioning of our website. With your consent, we also use optional cookies for analytics, advertising, and third-party services.

By clicking “Accept all”, you consent to the use of all cookies. You can manage or withdraw consent for optional cookies at any time by clicking “Customize”. Please note that some website features may not function properly if optional cookies are disabled.

For more information, please read our Privacy Policy.

Customize
Accept All

Control Your Privacy

Websites may store or retrieve information on your browser, mostly in the form of cookies. This information is used to personalize your experience and is not usually linked to your identity. You can choose not to allow certain types of cookies, but it may affect your website experience. Learn more and change settings by clicking on the different categories.

Strictly Necessary

Strictly necessary cookies enable website functionality and cannot be turned off. They are typically set in response to actions you take, like setting privacy preferences, logging in, or filling in forms. You can block or receive alerts about these cookies, but some website features may not work. These cookies do not store personal information.

Performance

Performance cookies track site visits and traffic sources to measure and improve site performance. They provide information on popular pages and visitor behavior. The information collected is anonymous. If you do not allow these cookies, we will not know when you have visited the site and cannot monitor its performance.

Targeting

Targeting cookies are cookies that our advertising partners may set on our site. They use them to create a profile of your interests and show relevant ads on other sites. They do not store personal information, but use your browser and internet device's unique ID. Without these cookies, you will see less targeted ads.

Functional

Functional cookies improve your website experience through enhanced functionality and personalization. They are set by us or third-party providers. Without them, some or all of these services may not work properly.

Confirm My Choices
Accept All

Upcoming Webinar

FinOps for AI Workflows: Controlling Cloud Costs for Businesses

August 12, 2026 10:00 am EST

Register Now
Watch Now
00 Days
00 Hours
00 Minutes
00 Seconds
Register Now