AI Commerce Insights
Perspectives on generative search, product data quality, GEO, and building at the edge of AI-native commerce.
Agentic commerce’s dirty little secret.
It seems like every other conversation on LinkedIn these days revolves around agentic commerce, right?
Commerce discovery is being rebuilt around AI. Here’s the developer platform built for it.
๐ง๐ต๐ฒ ๐ด๐ผ๐น๐ฑ ๐ฟ๐๐๐ต ๐ณ๐ฟ๐ฎ๐บ๐ถ๐ป๐ด ๐ถ๐ ๐ฟ๐ฒ๐ฎ๐น, ๐ฎ๐ป๐ฑ ๐๐ผ ๐ถ๐ ๐๐ต๐ฒ ๐๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฎ๐๐๐ฎ๐ฐ๐ต๐ฒ๐ฑ ๐๐ผ ๐ถ๐
Agentic commerce is not a channel shift. It is a data quality reckoning.
Seven days of commerce news produced a convergent signal that is easy to misread. Retailers are racing toward agentic storefronts, financial institutions are building autonomous transaction rails, and large-language-model interfaces are becoming primary discovery surfaces. The instinct is to call this a distribution story โ a new channel to master. It is not. Underneath every one of this weekโs announcements is the same structural constraint: ๐๐ต๐ฒ ๐พ๐๐ฎ๐น๐ถ๐๐ ๐ผ๐ณ ๐๐ต๐ฎ๐ ๐ฎ๐ป ๐ฎ๐ด๐ฒ๐ป๐ ๐ฐ๐ฎ๐ป ๐ฑ๐ผ ๐ณ๐ผ๐ฟ ๐ฎ ๐๐ต๐ผ๐ฝ๐ฝ๐ฒ๐ฟ ๐ถ๐ ๐ฒ๐ ๐ฎ๐ฐ๐๐น๐ ๐ฐ๐ฎ๐ฝ๐ฝ๐ฒ๐ฑ ๐ฏ๐ ๐๐ต๐ฒ ๐พ๐๐ฎ๐น๐ถ๐๐ ๐ผ๐ณ ๐๐ต๐ฒ ๐บ๐ฒ๐ฟ๐ฐ๐ต๐ฎ๐ป๐โ๐ ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐ ๐ฑ๐ฎ๐๐ฎ. That is the argument this weekโs entries are collectively making, and it deserves to be read plainly.
Wall Street just priced agentic commerce into Shopify twice in one week.
Within a single week, both Bank of America and Stifel upgraded Shopify to Buy, with both citing agentic commerce as the central thesis. That is not a coincidence. It is a structural signal: the financial market has decided that autonomous AI shopping is a real commercial category, not a research experiment. The question worth asking is not whether agentic commerce matters โ that debate is over. The more useful question is what the upgrade cycle actually means for the merchants who sit inside Shopifyโs ecosystem, and whether what Wall Street is pricing in at the platform level translates to real capability at the storefront level.
The Catalog Is the Moat: Why Agentic Commerce Rewards Data-Ready
Seven days of industry news converged on a single structural claim: the merchants who win in the agentic commerce era will not be the ones who move fastest to deploy AI chat widgets. They will be the ones whose product data is clean, structured, and machine-readable before the agents arrive looking for it.
Alphabet Soup: The Agentic Commerce Protocol Wars
Pick up almost any AI commerce write-up from the last six months and you will see the same conversation, looped: which agentic commerce protocol will win. Googleโs UCP? OpenAIโs ACP? Anthropicโs MCP? The trade press keeps trying to crown a victor.
Five Virtual Try-On Launches In Six Months Is A Pattern
Looks like VTO is finally moving out of the Playground.
Thank You, Amazon
โAre you kidding me? Itโs the best thing that could have happened to ๐ฏ๐ข๐ฌ๐ฎ๐๐ฅ๐๐. Thank you, Jeff!โ
What I Built While Waiting on Shopify
The Upside of the Downside.
ChatGPT Is the Answer Agent. shopperGPT Is the Discovery Agent. And It’s Live.
As of today, ๐ฌ๐ก๐จ๐ฉ๐ฉ๐๐ซ๐๐๐ is in the Shopify App Store. Plans start at $39 with a 7-day free trial.
The Commerce Search Problem Nobody Is Talking About โ And the Store That Just Solved It
A new age of commerce search and discovery starts today. Hereโs what it looks like โ with 8,000 real products, real shoppers, and a before/after you can see for yourself.
Shopify Founding Partners Wanted: Be Among the First Merchants to Replace Keyword Search With AI Discovery
5 slots. 90 days free. White-glove setup. Zero risk. Hereโs what that actually means โ and why weโre doing it.
What Lies Beneath…
Weโve been quiet. On purpose.
The AI Discovery Gap Is Widening. Most Merchants Are on the Wrong Side.
ChatGPT Doesnโt Know You Exist
The AI Shopping Revolution Has a Blind Spot
Perplexity just made agentic shopping free. Gemini will auto-buy on your behalf when prices drop. ChatGPT is now your personal buyerโs guide. Every major platform is racing to become the consumerโs first stop โ before they ever visit a retailerโs website.
The Search Bar Is Broken. Here’s What Replaces It.
Why AI Multimodal Search is the most consequential upgrade e-commerce merchants can make โ 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 โ 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 hasnโt just changed what we can build โ itโs changed how we build. Code, design, deployment, documentation, even testing โ 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 โ 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 hasnโt just changed what we can build โ itโs changed how we build. Code, design, deployment, documentation, even testing โ 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 hereโs the real question: who benefits mostโconsumers, merchants, or the platform?
Color is intent โ and your site search probably treats it as an afterthought
When shoppers type โemerald maxi dressโ, theyโre not just looking for a โgreen dress.โ Theyโre blending text + color + form into a single thought. Yet for most e-commerce sites, color is handled as a filter, tacked onto keyword search. Itโs 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-commerceโand itโs 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 pagesโthese are the painful steps in todayโs 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 โcomfortable summer shoes under $100โ or โdress for outdoor wedding.โ
E-commerce B2B Search Providers – Competitive Analysis
In the rapidly evolving eโcommerce 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, andโmost notablyโa hyperโpersonalized conversational AI component designed to engage shoppers on a oneโtoโone basis.
There and Back Again – The Trials And Tribulations of Launching an AI Platform in the Bay Area.
Some here might be wondering: โWhat happened to Joe and shopperGPT ?โ I was very active here for most of 2024, building relationships for the new businessโclients, strategics, and investors. Then mysteriously, all communication stopped. Hereโs the story about the ups and downs of building an AI startup in the Bay Area. Iโll 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. Hereโs 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)
Thereโs a new sheriff coming to town that is poised to completely change the way shoppers find products online and interact with a retailerโs e-commerce site. This โShopping Conciergeโ is a multimodal hyper-personalizing conversational shopping assistant (HPCSA).
Bringing It All Together. Adding Hyper-Personalization Into Conversational Shopping.
โIn 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.โ
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
Letโs start with the advantages of Conversational Shopping. The traditional process of product discovery online includes 2 basic choices โ type in a specific short text string (like โsummer dressโ) or navigate through a series of menu choices (Womenโs -> Clothing -> Dresses -> Summer, etc) to get to a page usually ordered in pre-determined vendor hierarchy. Either process requires additional โhuntingโ to try to find a the closest match to what the client is looking for, often leading to frustration and churn (#1 reason?).