4:10 PM
4:50 PM
5:00 PM
5:50 PM

For three years, Grid Dynamics and Google Cloud have hosted a dozen executive workshops on digital experience and commerce across North America. This November, the series returns to New York for the third year.

Shoppers now describe what they want in full sentences, with size, budget, occasion, and delivery constraints, and legacy keyword search can’t keep up. Complex queries return zero relevant results, and the shopper leaves.

Production-grade commerce agents address this by interpreting intent, mapping it to catalog data, checking inventory and availability, applying pricing and promotion rules, and orchestrating checkout as a single guided, durable workflow. Enterprises are already deploying these agents with Google AI Search for Commerce, Gemini Enterprise for Customer Experience (GECX), and Temporal on existing commerce infrastructure.

This workshop covers designing agents that actually run reliably in production while respecting your margin, promotion, and inventory rules. The goal: governed systems built around your commercial policies rather than just another generic “smart” feature. For 2027 planning, the timing question is simple: Does your first agent go live before competitors adopt similar capabilities?

Results from Grid Dynamics implementations of AI Search for Commerce and GECX:

15x

ROI

27%

total revenue uplift

6-9%

revenue-per-visit lift

Days

not months, to deploy specialized commerce agents

Following the main event, please join us for a social hour to continue the conversation with food and drinks.

Our speakers

Rahul Bindlish

Rahul Bindlish

SVP, Global Head of Partnerships and Marketing

Agentic commerce in action: Winning the customer journey across conversational agents and LLM search – NYC
Achilles Chalkiotis

Achilles Chalkiotis

Global Head of Digital Engagement

Agentic commerce in action: Winning the customer journey across conversational agents and LLM search – NYC
Vladimir Kondraschenko photo

Vladimir Kondraschenko

Head of Modern Application Development Practice

Agentic commerce in action: Winning the customer journey across conversational agents and LLM search – NYC
Michael Quinlan photo

Michael Quinlan

AI GTM, Strategic Industries

Agentic commerce in action: Winning the customer journey across conversational agents and LLM search – NYC

Rahul Bindlish

SVP, Global Head of Partnerships and Marketing

Rahul Bindlish has 30+ years of experience in IT services and consulting. He specializes in helping Tier-1 enterprises with their AI & digital initiatives to improve business performance and drive industry leading growth. Throughout his career, Mr. Bindlish has been recognized as an innovative leader who excels in building high-performing teams and fostering strong customer relationships. He is currently the Senior Vice President & Global Head of Partnerships and Marketing. Mr. Bindlish holds a Master’s degree in Business and Management from the Asian Institute of Management.

Achilles Chalkiotis

Global Head of Digital Engagement

Achilles leads the Digital Engagement practice at Grid Dynamics. For nearly three decades, he’s partnered with Fortune 500 companies to drive innovation through cutting-edge digital experiences. He’s witnessed and navigated countless technology shifts, but believes none are as promising or disruptive as AI. Achilles combines his deep curiosity and business acumen with years of hands-on experience to help organizations leverage these emerging technologies and drive business growth. At Grid Dynamics, Achilles and his team specialize in advanced search solutions, experience design, sophisticated e-commerce platforms, and content management systems, working closely with Google and other key partners.

Vladimir Kondraschenko

Head of Modern Application Development Practice

Vladimir is a technology leader with over 20 years of industry experience, including more than a decade leading solution design and consulting engagements for Fortune 1000 enterprises. He specializes in digital commerce modernization and modern application development, with a strong focus on architecting scalable, composable platforms. Vladimir is an advocate of agentic and conversational shopping experiences and is passionate about improving SDLC efficiency and driving AI-powered transformation of business processes and workflows.

Michael Quinlan

AI GTM, Strategic Industries

Additional speakers from Google Cloud and Temporal to be announced.

Agenda

3:30 PM ‐ 4:00 PM

Registration & networking

4:00 PM ‐ 4:10 PM

Welcome & introductions

4:10 PM ‐ 4:50 PM

Keynote & live showcase: “Agentic commerce in action: Winning the customer journey across conversational agents and LLM search”

4:50 PM ‐ 5:00 PM

Coffee break

5:00 PM ‐ 5:30 PM

Executive panel: The future of commerce — how AI reshapes unified commerce, trust, and the human touch

Moderated by Rahul Bindlish, SVP & Global Head of Partnerships and Marketing, Grid Dynamics

5:30 PM ‐ 5:40 PM

Q&A

5:40 PM ‐ 5:50 PM

Closing remarks & next steps

5:50 PM ‐ 7:00 PM

Networking reception

Who should attend

This workshop is designed for C-level executives, SVPs, VPs, and Heads of Digital, Commerce, Product,
Customer Experience, AI, Data & Search, Technology, and Innovation at enterprise retail, fashion &
luxury, beauty, CPG, and manufacturing companies.

If AI-driven commerce is anywhere on your 2027 roadmap, this is the room to pressure-test it in.

Why executives attend

  • The room is curated: 30 senior executives from $1B+ retail, fashion & luxury, beauty, and CPG companies, alongside Google Cloud, Temporal, and Grid Dynamics leaders.
  • You get the build-vs-pilot answer for your specific stack from the people who deploy for Fortune 500 commerce.
  • Third-party shopping agents are starting to route demand. Now is the time to understand how catalog quality, APIs, and search signals influence visibility and conversion.
  • The first agent a customer trusts keeps the relationship, and the window to implement that agent is the next 12–18 months.

Explore our latest agentic commerce resources

Robot in an iridescent coat and bucket hat holding a shopping bag, with colorful striped background.

ebook

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Abstract commerce scene with workers, carts, and parcels visualizing orchestrated agentic shopping journeys.

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The trust architecture: Why most agentic commerce pilots fail, and what separates the ones that don’t

Why agentic AI projects fail in production: trust gaps, weak architecture, and flawed design decisions. Discover UX research insights to help you build trust in agentic commerce.

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7-step AI discoverability checklist to help LLMs find, understand, and recommend your content

For the past two decades, digital brand visibility meant ranking on search engines. The higher your page appeared, the more likely customers were to find it. Today, search is shifting from lists of links to contextual conversations and full agentic commerce journeys. People now ask ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews to compare

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case study

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Robot in an iridescent coat and bucket hat holding a shopping bag, with colorful striped background.

ebook

Read more

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Abstract commerce scene with workers, carts, and parcels visualizing orchestrated agentic shopping journeys.

article

The trust architecture: Why most agentic commerce pilots fail, and what separates the ones that don’t

Why agentic AI projects fail in production: trust gaps, weak architecture, and flawed design decisions. Discover UX research insights to help you build trust in agentic commerce.

Read more

arrow-right
Fashion shopper using a smartphone beside a laptop, representing AI discoverability and agentic commerce readiness.

article

7-step AI discoverability checklist to help LLMs find, understand, and recommend your content

For the past two decades, digital brand visibility meant ranking on search engines. The higher your page appeared, the more likely customers were to find it. Today, search is shifting from lists of links to contextual conversations and full agentic commerce journeys. People now ask ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews to compare

Read more

arrow-right
Abstract illustration of humanoid figures using laptops, with a case study cover titled “AI observability for a retail sales enablement assistant.”

case study

Read more

arrow-right