AI Commerce Insights
Perspectives on generative search, product data quality, GEO, and building at the edge of AI-native commerce.
The Search Bar Is Broken. Here’s What Replaces It.
Why AI Multimodal Search is the most consequential upgrade e-commerce merchants can make — and why the cost of waiting is rising by the day.
The Vertical Future of AI-Native Commerce
Not long ago, building a sophisticated software platform took a full team — front-end devs, back-end devs, data scientists, DevOps, QA, PMs, and a few sleepless founders pulling it all together. Today, that stack looks very different. The AI wave hasn’t just changed what we can build — it’s changed how we build. Code, design, deployment, documentation, even testing — every layer of the development process now has a co-pilot.
The New Lean: How AI Is Rewriting the Startup Playbook
Not long ago, building a sophisticated software platform took a full team — front-end devs, back-end devs, data scientists, DevOps, QA, PMs, and a few sleepless founders pulling it all together. Today, that stack looks very different. The AI wave hasn’t just changed what we can build — it’s changed how we build. Code, design, deployment, documentation, even testing — every layer of the development process now has a co-pilot.
AI Marketplaces vs. Merchant Discovery: Who Really Wins?
When OpenAI + Shopify hit the headlines last week, the buzz was immediate. For consumers, the story is compelling: chat with AI, get recommendations, check out instantly. But here’s the real question: who benefits most—consumers, merchants, or the platform?
Color is intent — and your site search probably treats it as an afterthought
When shoppers type “emerald maxi dress”, they’re not just looking for a “green dress.” They’re blending text + color + form into a single thought. Yet for most e-commerce sites, color is handled as a filter, tacked onto keyword search. It’s not treated as a core dimension in the way shoppers think or shop.
The Future of E-Commerce Discovery: How AI-Powered Multimodal and Conversational Search Will Reshape Online Shopping
Search is the backbone of e-commerce—and it’s broken. Most shoppers today start with a vague idea of what they want, but traditional search forces them to become product researchers. Typing keywords, filtering manually, clicking through multiple irrelevant pages—these are the painful steps in today’s product discovery journey. According to a Baymard Institute study, 61% of major e-commerce sites fail to return useful results for broad or feature-driven queries like “comfortable summer shoes under $100” or “dress for outdoor wedding.”
E-commerce B2B Search Providers – Competitive Analysis
In the rapidly evolving e‑commerce space, search solutions are traditionally built around advanced semantic algorithms and visual search components. Over the past few years, only a handful of companies have managed to integrate both generative AI NLP and visual search APIs to create a truly multimodal experience. shopperGPT is uniquely positioned at the forefront by offering not only a multimodal search capability but also adding an integrated precise color filtering layer, and—most notably—a hyper‑personalized conversational AI component designed to engage shoppers on a one‑to‑one basis.
There and Back Again – The Trials And Tribulations of Launching an AI Platform in the Bay Area.
Some here might be wondering: “What happened to Joe and shopperGPT ?” I was very active here for most of 2024, building relationships for the new business—clients, strategics, and investors. Then mysteriously, all communication stopped. Here’s the story about the ups and downs of building an AI startup in the Bay Area. I’ll chop this up into several posts and promise some cliffhangers.
Revolutionizing Retail: How GenAI Enhances KPIs Through Smarter Search and Personalized Shopping
The retail landscape is rapidly evolving, and artificial intelligence is at the forefront of this transformation. As consumers demand more personalized and efficient shopping experiences, retailers are turning to Generative AI (GenAI) to enhance their online platforms.
Demand Rises for AI and Personalization in Online Product Discovery
In the fast-evolving e-commerce landscape, product discovery has emerged as a cornerstone of customer experience. To stay competitive, online retailers must embrace AI-powered search, personalization, and accelerated discovery as the new fundamental requirements for success. Here’s how these capabilities are reshaping the industry.
Vertical LLM Agents: $1B SaaS Opportunities
In the rapidly evolving landscape of AI, vertical LLM (Large Language Model) agents are emerging as transformative tools with the potential to become billion-dollar SaaS opportunities.
Our Data Sucks! GenAI Won’t Work for Us.
The e-commerce search bar is about to undergo the biggest transformation since platforms like Shopify revolutionized online shopping. As generative AI (GenAI) conversational shopping capabilities are being integrated into search, the way we shop online will never be the same.
The End of the Search Bar as We Know It
The e-commerce search bar is about to undergo the biggest transformation since platforms like Shopify revolutionized online shopping. As generative AI (GenAI) conversational shopping capabilities are being integrated into search, the way we shop online will never be the same.
Validating Product Market Fit with Market Indicators
When seeking ways to validate product market fit (PMF) or at least gauge strong market interest, there are several key indicators companies can leverage. Understanding how market leaders approach emerging technologies and seeing where venture capital dollars flow can both serve as powerful signals of validation.
Hyper-Personalization & The TikTok Generations
Hyper-personalization is quickly reshaping how online retailers interact with consumers, particularly Gen Y (Millennials) and Gen Z. These tech-savvy generations have grown up with an expectation for seamless digital experiences.
The Effects of Hyper-Personalizing E-Commerce With a Multimodal Conversational Shopping Assistant (HPCSA)
There’s a new sheriff coming to town that is poised to completely change the way shoppers find products online and interact with a retailer’s e-commerce site. This “Shopping Concierge” is a multimodal hyper-personalizing conversational shopping assistant (HPCSA).
Bringing It All Together. Adding Hyper-Personalization Into Conversational Shopping.
“In e-commerce, personalization refers to tailoring content and product recommendations based on basic customer data like purchase history or demographics. Hyper-personalization goes a step further by using advanced data analytics, AI, and real-time data to create highly individualized experiences, considering a broader range of factors such as real-time behavior, location, and even mood.”
The Benefits of Adding Multimodal Search to a Conversational Shopping Concierge
Multimodal generative AI search refers to a search capability that leverages generative AI to process and respond to queries using multiple types of input modalities, such as text, images, voice, or even video. Unlike traditional search engines that typically rely on keywords or text-based queries, multimodal generative AI can understand and generate relevant responses across different forms of media.
The AI-Powered E-Commerce Shopping Experience
Let’s start with the advantages of Conversational Shopping. The traditional process of product discovery online includes 2 basic choices – type in a specific short text string (like “summer dress”) or navigate through a series of menu choices (Women’s -> Clothing -> Dresses -> Summer, etc) to get to a page usually ordered in pre-determined vendor hierarchy. Either process requires additional “hunting” to try to find a the closest match to what the client is looking for, often leading to frustration and churn (#1 reason?).