Seller Central can make you feel like the answer is always three exports away. I sit down with Tempest from Seller Labs to talk about a smarter path: using AI integrations and large language models to turn messy Amazon seller data into clear, usable decisions without living in spreadsheets.

We get into why old-school dashboards start to break down when you need real-time visibility across thousands of SKUs, shifting fees, and fast-moving performance signals. Tempest explains how Seller Labs is working on an MCP that connects directly to Seller Labs and Amazon data, then plugs into Claude so you can ask plain-English questions like “What changed?” and “Where is profit leaking?” and get a direct, data-backed answer. One story hit hard: a seller used a few prompts to uncover a better shipping solution and reportedly saved around $200,000 per year while staying competitive on price.

We also talk Amazon PPC strategy and how ACOS and TACoS can quietly drift while you’re busy running the business. Instead of manual checks, MCP-style automation can monitor campaigns and send alerts when ad performance starts dragging total profitability down. Then we widen the lens to customer experience: reviews, feedback loops, and the hidden margin damage from returns and return fees that can make a “winning” product look far better than it really is.

If you’re searching for Amazon AI tools, profitability analytics, advertising optimization, and a realistic view of where humans still add value, this conversation will give you practical angles to test immediately. Subscribe for more, share this with a seller friend, and leave a review so more brands can find it. What would you want AI to monitor in your account first?

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Amazon is in a quiet standoff with some of the biggest brands in the world, and the cracks are starting to show in product selection. We dig into the reports of major names dialing back what they sell on Amazon after disputes over wholesale pricing, as tariffs and fuel costs climb. If nearly 40% of e-commerce runs through one marketplace, even “small” pullbacks can ripple through categories, shopper choice, and every seller’s margin math. We also talk through the uncomfortable question: if huge brands struggle to absorb costs, what does that say about the smaller sellers trying to survive on thinner margins?

From there, we shift to a real tactical update for marketplace diversification. eBay is rolling out video ads inside Promoted Listings Priority, letting sellers run up to 45-second videos on a cost-per-click model in markets like the US, Germany, and Canada. For brands and agencies looking for options beyond Amazon advertising, better creative tools on a viable marketplace can change the testing roadmap, especially when competition and fees keep climbing elsewhere.

On the AI and tech side, we unpack why Anthropic’s growing share of enterprise LLM API spend matters, plus what it signals about the enterprise AI race with OpenAI. We also cover Anthropic’s move into biotech AI and end with Gartner’s projection that AI agents will spread across business apps by 2026. That future could supercharge AI-powered bid management, inventory forecasting, and customer service automation, but it also raises the hard topics: auditability, oversight, and liability when an agent makes a costly decision. If this helped you think differently about e-commerce strategy and AI risk, subscribe, share it with a teammate, and leave a review. What marketplace or AI shift are you watching closest right now?

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Most Amazon businesses don’t fail because the idea is bad they fail because the foundation is missing. We sit down with Ian Roland Barry from AMZ Expand to talk through the unglamorous work that determines whether an Amazon FBA launch has a real chance: picking the right niche, structuring an offer that can actually compete, and matching your ambitions to the capital required to survive the ramp.

We get specific on the details that quietly break brands. Ian explains why GS1 barcodes and clean GTIN and UPC setup matter, how gray-market codes create a product identity mess, and why relying only on an Amazon FNSKU can limit you when you want to sell in retail or other ecommerce channels. From sourcing and supplier negotiation to logistics, we zoom out to show how early operational choices affect ranking, conversion, and long-term scale.

Then we tackle the uncomfortable truth about growth: in competitive categories like supplements, beauty, and pet, established sellers will spend aggressively on Amazon advertising because they understand lifetime value. If you try to protect short-term margins, you may never reach the review and sales velocity needed to unlock organic placement. Ian shares a clearer way to think about proof of concept, review accumulation, and “feeding the algorithm” before expecting consistent profit.

If you’re building an Amazon brand and want fewer surprises, subscribe, share this with a founder friend, and leave a review with the one part of your launch plan you’re most unsure about.

Learn more about Velocity Sellers!

Check us out on YouTube!

Book a FREE Amazon Audit!