Episode Number:

94

November 9, 2026

In this episode of The eCom Growth Show, Danan Coleman interviews Jakob Wolitzki, Co-Founder of DataDoe and Deltologic, to explore how Amazon sellers are actually implementing AI, what’s holding them back, and what they’re building with connected marketplace data. With more than 500 Amazon businesses using DataDoe, Jakob shares firsthand insights into AI adoption, automation, custom dashboards, and the tools transforming ecommerce operations.

Meet Jakob: The AI Builder Connecting Amazon Data to Smarter Workflows

Jakob Wolitzki is the Co-Founder of Deltologic, a software development company building tools and automations for Amazon sellers, and DataDoe, a platform connecting Amazon Seller Central, Vendor Central, and Amazon Ads to AI tools like Claude and ChatGPT.

Having worked with hundreds of ecommerce businesses, Jakob sees firsthand how sellers use AI, where their setups fall short, and which solutions deliver practical value. His focus is helping Amazon sellers move beyond basic AI prompts toward connected, data-driven business operations.

The AI Adoption Gap Is Bigger Than You Think

Despite the excitement around AI agents and automation, Jakob reveals that most Amazon sellers are barely scratching the surface of what’s possible.

  • Many still use ChatGPT or Claude primarily as alternatives to Google Search.
  • Most haven’t explored MCPs, APIs, AI skills, or connecting multiple business applications.
  • Advanced AI setups involving autonomous agents remain far less common than social media suggests.
  • Sellers who consistently experiment with AI are pulling further ahead of those who stick to basic prompts.
Big Idea: The competitive advantage isn't simply having access to AI. It's understanding how to connect it to your business and use it effectively.

Why Basic Software Knowledge Matters More Than Ever

AI makes building custom software easier, but that doesn’t mean sellers should ignore the fundamentals.

Jakob frequently encounters sellers creating dashboards and applications without understanding basic development concepts.

  • Learn the difference between front-end and back-end development.
  • Understand APIs, MCPs, databases, and how they work together.
  • Use version control tools like Git to protect projects from accidental changes.
  • Build a foundation of knowledge before attempting complex AI automation.

Without version control, a single AI-generated change can break an entire application with no easy way to restore it.

Takeaway: You don't need to become a developer to build with AI, but understanding software fundamentals can save you from costly mistakes.

MCPs Are Changing How Amazon Sellers Access Their Data

One of the biggest advances in ecommerce AI is the growing adoption of the Model Context Protocol (MCP).

MCPs allow AI tools to communicate with connected software, making it possible to retrieve information and perform supported actions without constantly switching applications.

  • Connect Amazon sales, inventory, and advertising data to Claude or ChatGPT.
  • Ask natural-language questions about profitability, campaign performance, and stock levels.
  • Combine information from multiple business systems for deeper analysis.
  • Use third-party connectors to access additional data and capabilities beyond Amazon’s native integrations.

Jakob explains that while Amazon has introduced its own connectors, their capabilities are limited compared with more comprehensive integrations.

Smart Play: Connecting your Amazon data to AI transforms a chatbot into a much more useful business assistant.

AI Dashboards: Turning Conversations Into Actionable Insights

Danan raises an important concern about relying entirely on chat-based analytics: sellers still need to visualize trends and compare historical performance.

Jakob explains how improved AI dashboards and connected data sources are changing that experience.

  • Build customized dashboards displaying sales, inventory, and advertising metrics.
  • Configure dashboards to refresh data automatically.
  • Create visual reports based on specific business questions.
  • Combine AI-generated analysis with traditional analytics tools for better decision-making.

However, Danan emphasizes that quick filters, historical comparisons, and consistent data visibility remain essential for effective business management.

Key Insight: AI-generated answers are useful, but sustainable growth requires dashboards that help sellers recognize patterns and make informed decisions.

What Amazon Sellers Are Actually Building With AI

Beyond simple reporting, Jakob shares real examples of what sellers are developing once they connect their Amazon data to AI.

  • Custom analytics dashboards: Monitor business performance without relying entirely on prebuilt reporting tools.
  • AI-powered repricing systems: Track competitors and adjust pricing based on predefined rules.
  • PPC management tools: Analyze advertising performance and create customized optimization workflows.
  • Warehouse management systems: Connect Amazon data with other operational applications.
  • AI employees: Deploy assistants within Slack or Microsoft Teams to help teams access data and complete tasks.
  • Custom SaaS products: Build software that can serve internal teams or become standalone commercial products.

Some sellers are creating simple tools for personal use, while others are building sophisticated systems for entire organizations.

Big Idea: AI isn't just helping Amazon sellers operate existing software. It's giving them the ability to build tools around their specific business needs.

AI Skills and Routines: Stop Repeating the Same Work

One of Jakob’s most practical recommendations is to create reusable AI skills rather than rewriting prompts for every task.

  • Skills store instructions for specific activities or workflows.
  • Sellers can customize existing skills to fit their operations.
  • Repeated processes can become automated routines.
  • Integrations with Gmail, Slack, ClickUp, and other tools allow AI to work across different systems.

For example, an AI assistant could search an email, check the status of a related project task, and provide an update without requiring someone to open multiple applications.

Actionable Insight: Start by turning repetitive prompts into reusable skills, then automate the workflows that consistently deliver value.

How to Start Using AI in Your Amazon Business in 30 Days

For sellers just getting started, Jakob recommends a practical approach that doesn’t require expensive tools or complicated systems.

  • Begin with Amazon’s free official AI connector to understand the basics.
  • Learn how to retrieve and analyze your Amazon data through Claude or another compatible AI tool.
  • Explore simple skills, prompts, and dashboards before introducing advanced automation.
  • Watch tutorials and understand how MCPs, APIs, and AI workflows function.
  • Consider more comprehensive solutions like DataDoe when your needs exceed what Amazon’s native connector supports.

Jakob also offers a free Claude course for Amazon sellers through DataDoe, covering initial setup, prompting, Amazon data connections, skills, routines, and dashboards.

Pro Tip: Start with free tools, build your confidence, and invest in more advanced integrations only when you understand what your business actually needs.

Don’t Let AI Automation Put Your Amazon Account at Risk

As sellers explore AI-powered workflows, Danan highlights an important warning about Amazon account security.

Using AI browser agents to scrape information from a logged-in Amazon account can create serious compliance risks.

  • Avoid using AI browser automation to scrape Seller Central or other restricted Amazon pages.
  • Prefer authorized API-based connections and supported integrations.
  • Understand the permissions and limitations of every AI tool connected to your account.
  • Test new workflows carefully before allowing automation to make changes.

Danan shares his own experience of having an account access email blocked after experimenting with automated review data retrieval.

Important Reminder: Automation should simplify your Amazon operations, not put your account access at risk.

Special Offer: Get Started With DataDoe

For Amazon sellers ready to explore more advanced AI integrations, Jakob has an exclusive offer for The eCom Growth Show audience.

  • 14-day free trial to explore DataDoe.
  • 30% off your first three months with coupon code DANAN.
  • Connect Amazon Seller Central, Vendor Central, and Amazon Ads to supported AI tools.
  • Access educational resources, including Jakob’s free Claude course for Amazon sellers.

Claim the offer: https://datadoe.com?fpr=danan

Coupon Code: DANAN

Connect with Jakob Wolitzki

Final Thoughts

The future of AI in ecommerce isn’t about collecting more tools or building the most complicated automation system. It’s about connecting the right data, understanding your business processes, and creating workflows that solve real operational problems.

As Jakob explains, there’s a growing divide between sellers who use AI for basic questions and those who are building customized systems to run their businesses more effectively.

The opportunity is there for anyone willing to learn. Start with the fundamentals, experiment with connected data, and gradually introduce automation where it makes the biggest difference.

Stay tuned for more episodes of The eCom Growth Show, where Amazon sellers discover how to turn AI experimentation into smarter workflows, better decisions, and scalable ecommerce operations.