Video Playlist:

Connected Commerce 2023

Full Session Recordings

Missed out on Connected Commerce 2023? No problem! View the full session recordings and gain valuable insights from world leaders in eCommerce- on demand.

Check out the event recap video to the left and fill out the form to access the session recordings now:

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Made In Builds a Scalable, Connected Dropship Operation with Logicbroker

With a strong foundation in direct-to-consumer sales through Shopify, Made In was poised for rapid growth. But as national retail partnerships expanded and dropship fulfillment grew more complex, manual operations began to slow the business down. By partnering with Logicbroker, Made In built a fully connected dropship program that integrates seamlessly with their existing tech stack, supports fast partner onboarding, and helps their small team save valuable time. The result is a streamlined infrastructure that’s built for scale.

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From Planning to Profit: Key Takeaways from Logicbroker’s Holiday Supply Chain Webinar

As the 2025 peak retail season approaches, brands and retailers face a critical question: how do you scale sales and protect margins while navigating shipping delays, tariff volatility, and shifting consumer behaviors? Logicbroker tackled this timely challenge in our recent webinar, "Holiday Planning Amidst Supply Chain Issues," featuring Steve Norris (VP of Digital Commerce) and Robert Schussler (Senior Solutions Engineer). Packed with actionable insights, the discussion covered everything from tariff preparedness and fulfillment strategy to technology enablement and supplier diversification.

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Fixing the Data Mess: How AI is Powering the Next Wave of Digital Commerce Efficiency

Product onboarding is still spreadsheet-driven. Content validation eats up hours. And syncing supplier feeds with retailer requirements? Often an exercise in (at best) frustration. AI presents a new frontier for clearing the inefficiencies that stall digital growth. At Logicbroker, we’re focused on using AI to solve the kinds of foundational data problems that every retailer, brand, and supplier runs into. Problems that, until now, required a mix of technical skill, manual cleanup, and a whole lot of patience.

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