retail automation Archives

AI Shopping Agents Transform The Future of Retail with Jason Grunberg at eTail West

April 17, 2025 Brent W. Peterson

As your host of Talk Commerce, I recently had the pleasure of sitting down with Jason Grunberg, Chief Marketing Officer at Bluecore, during E-tail West in Palm Springs. Our conversation dove deep into one of the most transformative trends in e-commerce: the rise of agentic commerce.

The Evolution of AI in Consumer Experience

The way we interact with technology is rapidly changing. As Jason pointed out, consumers are already being conditioned to expect AI-powered experiences in their daily lives. From Google’s Gemini summaries to Amazon’s Rufus AI shopping assistant, these tools are becoming an integral part of our shopping journey. The frustration we feel when these AI features aren’t available speaks volumes about how quickly we’ve adapted to this new normal.

Different Flavors of AI Agents in Retail

During our discussion, Jason outlined several key types of AI agents that are reshaping retail:

AI Shopping Agents: These predictive tools answer customer questions and guide the path to purchase
Customer Support Agents: Automated systems that handle post-sale inquiries
Marketing Agents: AI-powered systems that handle audience segmentation and campaign creation
Sales Agents: Automated sales assistance tools

Personalization 2.0: The Human Element

One of my favorite insights from Jason was his personal perspective on automation versus human interaction. He shared a compelling example about shopping for his six-year-old daughter. While he’d welcome AI automation for routine purchases like seasonal basics, he values the human experience of shopping for special occasions, like vacation preparations. This highlights an important distinction: AI should enhance, not replace, meaningful shopping experiences.

The Future of Agent Interfaces

A fascinating point Jason raised is the potential future where consumers will have their own AI shopping agents that interface with retail brands’ AI systems. This raises important questions about:

Brand loyalty in an AI-mediated world
The role of traditional digital touchpoints (websites, apps, email)
Data privacy and consumer control
Universal API standards for AI agent communication

The Trust Factor

Perhaps one of the most crucial aspects we discussed was the issue of trust and data control. As Jason noted, consumers are increasingly aware of their data’s value and expect more control over how it’s used. This will likely lead to a future where consumers can grant or revoke AI access to their data based on how well retailers meet their expectations.

The rise of agentic commerce represents more than just a technological shift – it’s a fundamental change in how we think about shopping. As we wrapped up our conversation, Jason shared that Bluecore is already at the forefront of this transformation, working with major retailers like QVC and Evo to implement AI shopping assistants.

For those interested in exploring this technology, Bluecore is offering free trials and proof of concepts through June of this year. You can reach out to Jason directly at Jason.Grunberg@Bluecore.com or connect with him on LinkedIn.

The future of retail is being shaped by these AI innovations, and it’s clear that businesses need to start preparing for this agentic commerce revolution. The question isn’t if this transformation will happen, but how quickly retailers will adapt to meet evolving consumer expectations.

Find more conversations about innovations in retail here.

Resulticks SHOP Platform Bridges Digital-Physical Retail Divide with AI-Powered Innovation

March 28, 2025March 25, 2025 susanmakolea

Resulticks introduces SHOP, an AI-powered platform that unifies physical and digital retail experiences, enabling personalized customer engagement and improved attribution across all shopping channels.

Behind the Curtain of AI in eCommerce – Why Good Data is the Key to Staying Competitive

February 25, 2025 Brent W. Peterson

In a recent episode of Talk Commerce, I had the pleasure of sitting down with Rochelle Thielen, CEO of Traject Data, to explore the transformative impact of retail data automation on the industry. While conversations about AI dominate headlines, our discussion revealed that the true revolution lies in how automated data collection and analysis are powering these solutions.

The Scale of Retail Data Automation Today

During our conversation, Rochelle revealed some staggering numbers about data collection in modern retail. “When we’re talking about quantity, we’re looking at 100 million data points per day for some enterprise users,” she explained. This massive scale of data collection is what’s enabling the sophisticated AI solutions we’re seeing in retail today.

As someone who’s been in the e-commerce space for years, I was particularly impressed by how this data is being put to practical use. The sheer volume of information being processed is mind-boggling, but it’s the application that really matters.

Real-Time Decision Making in Retail

One of the most fascinating insights Rochelle shared was about the importance of real-time data. “If you’re more than 24 hours old on data, you’re pretty far behind,” she noted. This is particularly crucial for:

Dynamic pricing strategies
Inventory management
Customer experience personalization
Competitive analysis

The Human Element in AI Implementation

Something I strongly agree with, and Rochelle emphasized, is the continued importance of human oversight in AI systems. She stressed that “humans are still controlling what the AI is doing,” with teams regularly verifying data samples to ensure accuracy. This human-in-the-loop approach is crucial for maintaining quality and preventing potential pricing or decision-making errors.

Transparency in AI Customer Service

We had an interesting discussion about chatbots and AI-powered customer service. Rochelle made a compelling point about transparency: “You need to be transparent. People don’t negatively look at interfacing with a bot as long as the bot is equal to or better than the human.” This approach to honest AI implementation is something I’ve always advocated for in e-commerce.

Looking Ahead: 2025 and Beyond

Looking to the future, Rochelle shared some exciting predictions. The focus is shifting toward true omnichannel experiences, with particular emphasis on:

Integration of social media data (including TikTok)
Enhanced visual and video data processing
Democratized access to AI tools for smaller retailers
Sophisticated fraud prevention systems

Real-World Applications

One of the most impressive examples Rochelle shared was how their data helps prevent fraud and unauthorized reselling. For small businesses, their systems can detect when purchased items are immediately listed for resale on platforms like eBay, helping protect inventory and brand value.

Final Thoughts

As we wrapped up our conversation, it became clear that we’re at an exciting intersection of big data, AI, and retail. What impressed me most about Traject Data’s approach is their focus on scalability and accessibility – making these powerful tools available to businesses of all sizes.

If you’d like to hear more insights from Rochelle and learn about the future of retail technology, I encourage you to listen to the full podcast episode. The rapid evolution of retail technology means there’s always more to learn and discuss.

Remember, whether you’re a major enterprise or a small retailer, understanding and leveraging data is no longer optional – it’s essential for staying competitive in today’s retail landscape.

Find more episodes about what’s on the forefront in retail innovation here