Episode Number:

93

November 2, 2026

In this episode of The eCom Growth Show, Danan Coleman welcomes back Andrew Erickson, founder of Inventory Hero, to explore practical AI workflows that help ecommerce brands operate smarter, save time, and unlock new growth opportunities. From Amazon listing optimization and PPC management to inventory forecasting, email automation, and multichannel expansion, Andrew shares how sellers can use artificial intelligence to streamline operations without losing the human expertise that drives business success.

Meet Andrew: The Engineer Turning AI Into Ecommerce Growth

Andrew Erickson is an engineer turned ecommerce entrepreneur who has built and sold three seven-figure private label brands. As the founder of Inventory Hero and first-place winner of the 2026 Billion Dollar Seller Summit AI competition, Andrew brings hands-on experience in Amazon selling, automation, and supply chain management.

Returning to the show for another conversation with Danan, Andrew shares the AI tools and workflows he’s implementing across his own businesses, offering sellers practical ways to work more efficiently and scale beyond Amazon.

AI Meeting Automation: Turn Conversations Into Actionable Insights

Andrew believes one of the simplest ways businesses can benefit from AI is by automating meeting documentation.

  • AI meeting assistants like Fathom can record, transcribe, and summarize conversations.
  • Customized AI skills can categorize meetings, including sales calls, status updates, and team discussions.
  • Meeting summaries and action items can be automatically organized for future reference.
  • Centralized meeting records help businesses preserve context and reduce repetitive administrative work.

Danan also highlights AI-powered voice dictation tools like Glaido, which can connect with other applications through Model Context Protocol (MCP) integrations.

Key Takeaway: Don't let valuable information disappear after a meeting. Use AI to capture conversations, organize decisions, and turn discussions into actionable next steps.

AI Product Development: Find Better Opportunities With Data

Developing successful ecommerce products requires more than brainstorming ideas. Andrew explains how AI can help brands analyze existing data to identify new opportunities.

  • Upload product catalogs into AI platforms like Claude to generate product expansion ideas.
  • Analyze customer reviews and competitor feedback to uncover unmet needs.
  • Use Amazon Brand Analytics data to identify purchasing trends and market opportunities.
  • Explore AI-powered sourcing tools like Accio to research potential suppliers and product ideas.

Danan also references SourceReady and Saudara as examples of sourcing platforms helping ecommerce sellers explore manufacturing opportunities.

Smart Play: Use AI to turn customer feedback, competitor research, and sales data into product ideas worth validating before investing in inventory.

Amazon Listing Optimization: Generate Better Images and Copy Faster

Andrew shares how AI image generation is changing the way Amazon sellers create and optimize their listings.

Previously, his team relied on designers to produce numerous main image variations before testing them. Today, AI makes generating creative alternatives significantly faster.

  • Generate multiple Amazon main image concepts using AI.
  • Create listing copy, product descriptions, and A+ Content.
  • Experiment with product positioning, packaging presentation, and visual angles.
  • Reduce the time spent preparing creative assets for testing.

However, generating images is only the beginning. Sellers still need to determine which creatives actually attract customers and drive conversions.

Big Idea: AI accelerates content creation, but customer behavior determines which creative deserves to win.

A/B Testing: Let Real Customers Guide Your Decisions

One of Andrew’s strongest recommendations is to test listing creatives before committing to a final version.

Through Optimize Hero, Andrew combines AI-generated images with feedback from real human respondents.

  • Generate several main image variations for testing.
  • Ask real consumers which images they would be most likely to click.
  • Analyze feedback to identify promising creative directions.
  • Generate improved variations based on testing results.
  • Validate winning concepts through Amazon’s Manage Your Experiments when eligible.

Andrew explains how this process can compress weeks of creative development and testing into a much shorter workflow.

He also emphasizes that consumer preference testing and actual purchase behavior are not identical. Survey results help narrow the options, while live marketplace experiments provide stronger evidence of conversion performance.

Pro Tip: Don't rely on AI-generated recommendations alone. Combine rapid creative testing with real customer purchasing data to make better optimization decisions.

AI for Amazon PPC: Automate Analysis, Not Every Decision

Amazon advertising generates enormous amounts of data, making PPC management a natural application for artificial intelligence.

Andrew explains how sellers can use AI to analyze advertising reports and identify optimization opportunities.

  • Analyze search term reports to discover valuable keywords.
  • Identify potential bid adjustments and wasted advertising spend.
  • Review campaign performance and dayparting opportunities.
  • Use AI tools and integrations to accelerate PPC analysis.

But Andrew cautions against handing complete control of advertising campaigns to AI.

His preferred approach is what he calls the AI cocktail: approximately 80–90% AI-assisted execution combined with 10–20% human expertise and oversight.

Experienced operators still provide the strategic judgment, historical understanding, and business context that AI can miss.

Takeaway: Let AI handle repetitive analysis while humans remain responsible for advertising strategy and critical decisions.

Email Automation: Build Smarter Workflows With AI

Managing business communications can consume hours each week. Andrew and Danan discuss how AI agents can reduce that workload without sacrificing personalized customer interactions.

Andrew uses AI to categorize incoming messages, prepare draft replies, and organize important business information.

  • Automatically sort emails based on urgency and relevance.
  • Generate concise responses using established communication guidelines.
  • Connect customer conversations with CRM records and meeting transcripts.
  • Summarize emails into organized knowledge bases for future reference.

Andrew also introduces his approach to maintaining an LLM wiki, a collection of organized business knowledge files that AI agents can reference.

By periodically updating these files with information from emails and other sources, his AI systems maintain more useful context across business operations.

Danan shares a similar workflow, using AI agents to retrieve customer history, review relevant dashboards, and draft responses that can be reviewed before sending.

Actionable Insight: AI becomes more valuable when it understands your business. Connect relevant information sources, build organized knowledge systems, and keep humans involved in customer-facing communication.

AI Inventory Forecasting: Make Smarter Supply Chain Decisions

For Amazon sellers and ecommerce brands, poor inventory planning can create stockouts, excess inventory, and unnecessary operating costs.

Andrew explains how AI-powered forecasting can help businesses make more informed replenishment decisions.

Through Inventory Hero, his team combines historical sales performance, competitor information, and keyword data to support inventory planning.

  • Forecast future demand using sales history and seasonal trends.
  • Identify when inventory needs to be reordered.
  • Track purchase orders and incoming shipments.
  • Organize supply chain information across multiple marketplaces.
  • Coordinate inventory planning for Amazon, Walmart, TikTok Shop, and Shopify.

Andrew explains that Inventory Hero can forecast sales up to two years ahead, helping sellers evaluate future inventory requirements.

Key Move: Better inventory management starts with better visibility. Use AI forecasting to support purchasing decisions before inventory problems become expensive.

Bookkeeping and Taxes: Use AI as a Financial Second Set of Eyes

AI isn’t limited to marketing and operations. Andrew also uses it to organize financial information and review accounting documents.

He describes how AI helped examine his tax preparation materials and identify an additional issue worth addressing with his accountant.

  • Organize bank statements, transaction exports, and expense records.
  • Identify potential bookkeeping inconsistencies.
  • Prepare financial summaries and handoff documents for accountants.
  • Analyze expenses to uncover unnecessary subscriptions and operational costs.
  • Review financial reports for potential discrepancies.

Andrew emphasizes the importance of maintaining professional oversight, particularly for complicated business tax situations.

He also recommends caution when connecting AI systems to sensitive financial accounts, including considering read-only access where appropriate.

Smart Play: Use AI to prepare, organize, and double-check financial information, but keep qualified accountants and financial professionals involved in important decisions.

Multichannel Expansion: Use AI to Grow Revenue, Not Just Cut Costs

Andrew closes with a shift in perspective: businesses shouldn’t use AI exclusively to reduce expenses. They should also explore how it can create new revenue opportunities.

For Amazon sellers, expanding into other ecommerce channels is one potential growth strategy.

  • Explore Walmart Marketplace and TikTok Shop as additional sales channels.
  • Develop a stronger direct-to-consumer presence through Shopify.
  • Use AI to simplify listing creation and marketplace operations.
  • Centralize inventory visibility across multiple sales channels.
  • Look for opportunities to increase revenue rather than focusing solely on small cost reductions.

Danan points out that operating a Shopify store requires different capabilities from selling on Amazon, and not every marketplace seller is prepared to make that transition immediately.

The opportunity is significant, but successful expansion still requires the right operational foundation..

Prime Positioning: Use AI to make business expansion more manageable. The goal isn't simply to run the same business with fewer resources, it's to build a larger, more capable ecommerce operation.

The Human Advantage: Why AI Still Needs Expertise

Throughout the conversation, Andrew and Danan return to one essential principle: AI works best when paired with experienced people.

AI can analyze information, automate tasks, and generate recommendations, but business owners still need to evaluate the results.

  • Use automation to eliminate unnecessary manual work.
  • Maintain human oversight for decisions involving customers, finances, and strategy.
  • Give AI systems relevant business context to improve their usefulness.
  • Focus on helping employees accomplish more rather than simply replacing them.
Big Idea: The greatest opportunity isn't choosing between humans and AI. It's combining AI's speed with human judgment to build a stronger business.

Connect with Andrew Erickson

Final Thoughts

AI is changing the way ecommerce brands operate, but its greatest value comes from how businesses choose to implement it.

From automating meeting notes and analyzing PPC campaigns to improving product development, managing inventory, and expanding into new marketplaces, Andrew demonstrates that AI can create meaningful improvements across nearly every part of an ecommerce operation.

The key is to start with practical workflows, build systems around reliable business information, and maintain human oversight where judgment matters most.

For Amazon sellers looking to scale, the opportunity isn’t just about saving time. It’s about using that time, data, and technology to pursue bigger growth opportunities.

Stay tuned for more episodes of The eCom Growth Show, where AI-powered workflows, smarter automation, and practical ecommerce strategies help sellers move beyond manual operations and build businesses ready to scale.