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  • How Leading Ecommerce Brands Are Turning AI Into a Competitive Advantage

    How Leading Ecommerce Brands Are Turning AI Into a Competitive Advantage

    AI is no longer an emerging technology in ecommerce — it’s the infrastructure behind smarter decisions, faster execution, and sustainable growth.

    Based on research with over 1,000 senior ecommerce leaders across the UK, US, Germany, and the UAE, this report reveals how brands are using AI to navigate rising consumer expectations, margin pressure, and rapidly evolving purchase journeys — from marketplaces and social commerce to AI-powered agents.

    Inside, you’ll discover:

    • Where ecommerce leaders are investing in AI today — and why
    • How AI is delivering measurable impact across marketing, pricing, fulfilment, and customer experience
    • What the rise of AI agents and AI-powered search means for product discovery and brand visibility
    • The biggest barriers holding organisations back — and how leaders are overcoming them

    Download Now

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    570EAF-Pattern-Pattern – How Leading Ecommerce Brands Are Turning AI Into a Competitive Advantage

  • How Bosch Home Comfort Drove 143% Sales Growth on OTTO. Expanding Beyond Amazon Without Cannibalisation

    How Bosch Home Comfort Drove 143% Sales Growth on OTTO. Expanding Beyond Amazon Without Cannibalisation

    Relying on a single marketplace limits growth — especially in regions where local platforms command strong customer loyalty.

    In this case study, learn how Bosch Home Comfort, a subsidiary of the Bosch Group, partnered with Pattern to successfully expand beyond Amazon and establish a high-performing presence on OTTO, one of Germany’s top three marketplaces.

    By replicating its full product catalogue, optimising content for OTTO’s unique requirements, and aligning marketplace strategies to reach different customer demographics, Bosch achieved:

    • 143% sales growth in Q4 2024 on OTTO
    • 464% uplift in overall sales on the platform
    • 321% increase in traffic to product detail pages
    • Incremental revenue from SKUs that underperformed on Amazon

    Download the full case study to find out how.

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    570EAF-Pattern-Pattern – How Bosch Home Comfort Drove 143% Sales Growth on OTTO. Expanding Beyond Amazon Without Cannibalisation

  • From US Brand to European Marketplace Leader: How Leatherman Launched, Localised, and Scaled at Speed

    From US Brand to European Marketplace Leader: How Leatherman Launched, Localised, and Scaled at Speed

    Expanding into new international marketplaces is complex — especially when speed, compliance, localisation, and conversion all matter.

    In this case study, discover how Leatherman, the iconic multi-tool brand trusted for over 40 years, partnered with Pattern to rapidly expand across key European marketplaces and unlock measurable growth.

    By launching into Amazon Europe, OTTO, Allegro, and bol, optimising hundreds of SKUs with AI-powered content technology, and unifying its digital shelf across regions, Leatherman achieved:

    • 20% year-over-year revenue growth in the first four months of trading
    • A 12% lift in conversion rates through improved listing quality and consistency
    • 85% of new-to-brand sales driven by advertising
    • Reinstatement of 12 previously delisted products through compliance optimisation

    Download the full case study to learn more.

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    570EAF-Pattern-Pattern – From US Brand to European Marketplace Leader: How Leatherman Launched, Localised, and Scaled at Speed

  • From 1P to 3P Without Disruption. How Weider Regained Buy Box Control and Accelerated Growth

    From 1P to 3P Without Disruption. How Weider Regained Buy Box Control and Accelerated Growth

    Transitioning from a 1P to a 3P model on Amazon is one of the most complex moves a brand can make — with risks spanning revenue loss, compliance issues, reseller disruption, and Buy Box instability.

    In this case study, discover how Weider, a global sports nutrition brand, partnered with Pattern to execute a controlled, phased transition from 1P to 3P across Amazon’s key European marketplaces.

    By prioritising top-selling ASINs, cleaning up the seller landscape, and resolving regulatory and classification issues, Weider successfully:

    • Maintained revenue momentum throughout the 1P to 3P transition
    • Regained Buy Box control and reduced reseller disruption
    • Resolved compliance gaps and reinstated previously non-compliant ASINs
    • Accelerated product expansion across priority Amazon marketplaces

    Download the full case study to find out how.

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    570EAF-Pattern-Pattern – From 1P to 3P Without Disruption. How Weider Regained Buy Box Control and Accelerated Growth

  • The Ultimate Guide to Data and AI for Industries

    The Ultimate Guide to Data and AI for Industries

    From hype to business value: Navigating data, gen AI and AI agents.

    The potential uses for and value of AI are vast, spanning virtually every major industry.

    Download the ebook to learn about top use cases for leveraging data and AI to drive success. Here are but a few of the many ways organizations can show ROI and derive business value from AI:

    • Healthcare: Analyze vast amounts of patient data for more accurate diagnoses and personalized treatments.
    • Financial services: Identify market trends and inform investment decisions to maximize returns.
    • Retail: Create personalized shopping experiences that enhance customer satisfaction and loyalty.
    • Public sector: Predict disaster impact and help to quickly and accurately deploy emergency services.
    • Manufacturing: Identify quality issues and product defects, enhancing quality control.
    • Media and entertainment: Analyze customer behaviors, sentiments and trends to create highly personalized, timely experiences.
    • Telecommunications: Solve and predict network issues and service disruptions to improve service, reliability and operational efficiency.

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    52FCC5-Snowflake-Snowflake -The Ultimate Guide to Data and AI for Industries

  • The Radical ROI of Gen AI

    The Radical ROI of Gen AI

    Global research shows that enterprises are winning big with generative AI. We dove into their strategies and measured their outcomes.

    Based on research by Enterprise Strategy Group:

    • Nearly three in five organizations worldwide are already using gen AI
    • 92% of early adopters say their gen AI initiatives have paid for themselves
    • Those who have calculated the ROI are seeing a return of 41%

    See How Generative AI Has Changed the Game

    Researchers at Enterprise Strategy Group surveyed 1,900 business and IT leaders to find out how the first wave of gen AI adoption is changing business.

    Short answer: It’s making them richer.

    For more, download the full report today.

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    52FCC5-Snowflake-Snowflake -The Radical ROI of Gen AI

  • The Modern ML Playbook: Best Practices for Simplifying the Path to Production ML

    The Modern ML Playbook: Best Practices for Simplifying the Path to Production ML

    Machine learning (ML) is a critical technology that helps organizations unlock the power of their data. It holds the potential to unlock massive business value.

    Yet, many organizations struggle to bridge the gap between a working model and a reliable business application. Fragmented tools, inefficient data pipelines, and complex infrastructure management often stall progress.

    This Modern ML Playbook is a definitive guide for enterprises. It shows you how to cut through this complexity and infrastructure sprawl, ensuring you get ML right and finally realize the full return on your data science investments.

    Download the ebook to learn how to:

    • Train ML models directly where your data lives in Snowflake, removing a major source of cost and delay
    • Develop, deploy and monitor models with fully managed, automatically scaling CPU and GPU compute without the need for Kubernetes or MLOps platforms
    • Streamline your organization’s entire ML lifecycle on a fully integrated platform, making the transition from experimentation to production seamless

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    52FCC5-Snowflake-Snowflake -The Modern ML Playbook: Best Practices for Simplifying the Path to Production ML

  • The Essential Guide to Unstructured Data for Generative AI and Agents

    The Essential Guide to Unstructured Data for Generative AI and Agents

    Unstructured data — from emails and documents to videos and social media posts — constitutes as much as 90% of all global data. It represents a largely untapped trove of potential insights. Unfortunately, traditional data pipelines (ETL/ELT) were not built to handle the volume and variety of this data, making analysis complex and costly.

    However, LLMs and gen AI have lowered the barriers and costs to unlocking this data, giving organizations new insights into their data and a competitive advantage.

    Download your copy of “The Essential Guide to Unstructured Data for Generative AI and Agents” to learn:

    • How to build an AI-ready pipeline in 10 steps to transform raw, unstructured data into a scalable, machine-readable asset for your AI models
    • To understand how AI agents are changing the way data is leveraged by autonomously analyzing information, extracting key insights, and performing tasks like processing claims or predicting market movements
    • How to move beyond single data types by combining information from multiple modes using data fusion techniques to unlock deeper, more reliable business insights

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    52FCC5-Snowflake-Snowflake – The Essential Guide to Unstructured Data for Generative AI and Agents

  • Snowflake AI + Data Predictions 2026

    Snowflake AI + Data Predictions 2026

    The rise of agentic AI will create a new kind of enterprise and a new kind of worker.

    Hear from more than a dozen experts and execs on:

    • When and how AI agents will take off
    • What stops your business from going agentic
    • How cybercrime will spawn enemy agents
    • How work will change and how workers will keep up

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    52FCC5-Snowflake-Snowflake -Snowflake AI + Data Predictions 2026

  • A Practical Guide to AI Agents

    A Practical Guide to AI Agents

    The next evolution in AI is here. Agentic AI is a form of artificial intelligence designed to function autonomously. But how is it different from traditional AI and generative AI?

    Agentic AI can make decisions, perform tasks and adapt to its environment without constant human intervention to automate a broader range of tasks with minimal supervision.

    Download your complimentary copy of “A Practical Guide to AI Agents” to learn more, specifically:

    • What are AI agents and how they differ from traditional AI and generative AI
    • The key benefits of the technology, use cases by business function and industry, and real-world success stories
    • Critical considerations for security, compliance and ethical AI deployment
    • Five considerations to a practical roadmap for implementing agentic AI in your organization

    Please fill out the form below to access the content:

    52FCC5-Snowflake-Snowflake – A Practical Guide to AI Agents