AI eCommerce Consultant

Greg Randall: AI eCommerce Consultant

Driving Real Value and ROI Through Strategic AI Integration in Retail and B2B

Greg Randall, with 25 years in eCommerce, offers over 15 years of hands-on experience in leveraging AI models to transform eCommerce channel performance. However, the last four years has seen a significant step-change in AI capabilities which has revolutionised its role in the eCommerce space.

This very recent AI evolution has amplified the potential impacts AI models can have on businesses, but the caveat is the treatment of these powerful technologies must be done right.

Greg is the go-to AI eCommerce consultant for organisations looking to embed AI into their digital ecosystem properly and safely.

Greg's approach ensures businesses achieve tangible value and rapid return on investment while navigating the fast-changing landscape of digital commerce.

Below are a few ways AI is delivering real, measurable results:

#1. AI in eCommerce conversion rate optimisation to drive more online sales.

#2. AI is used to enhance UX design planning, developing experiences that boost engagement.

#3. AI to drive hyper-personalised customer retention strategies.

#4. Enriching product master data to feed into other AI models to drive growth.

Read on to learn more about how each of the above four applications can enhance your eCommerce channel!

Ready to Grow? Let's Go! Contact Greg Now!

AI eCommerce Conversion Rate Optimisation

AI data mining tools are first used to unpack and identify high-impact website performance issues.

The second step is to construct at least two different solutions to remedy the identified performance issues.

These solutions are then loaded into AI-driven AB testing tools, which automate the injection of both solutions to different visitors on the site.

This system clearly identifies the solution that best addresses the issue and yields the best results.

However, what makes this process powerful is Greg's experience in producing solutions to fix performance issues, which are then loaded into the AB tools.

It’s all well and good to have an AI AB testing tool; however, if you plug in average solutions, you will not receive valuable outputs from this tool.

AI eCommerce UX Design

Greg utilises AI tools to generate insights that reveal consumer buying intent. This understanding of customer needs informs the planning and optimisation of new user experiences.

AI models then build an initial round of wireframes from validated data.

But due to Greg's decades of experience, he does not rely solely on these AI outputs.

The AI-driven wireframes offer valuable solutions for consumer journeys, but they often overlook critical nuances in page layout best practices—especially for mobile screens.

This is how AI and best practices collide to add business value in UX design planning.

AI Driven Customer Retention

Greg works with businesses to integrate various data sets, enabling AI models to drive hyper-personalised experiences that bring customers back and encourage repeat purchases.

He also establishes new data capture methods, ensuring that real-time data can be fed into AI models, scaling the effectiveness of customer retention strategies.

While acquiring new customers remains crucial, Greg’s approach highlights the significant, often untapped opportunities in using AI to retain existing customers and build loyalty—when planned and executed with care.

AI and Product Master Data: Preparing for the Future of SEO and GEO

One persistent pain point for both Retail and B2B businesses is the quality of product master data—the database-driven attributes that describe each product.

Poor data quality can cripple an organisation, as product master data is essentially "product food" for AI. It’s the foundation for AI-driven experiences, such as product recommendations and on-site search.

Greg has firsthand experience using AI models to automate the completion and enhancement of product master data. This automation scales the product onboarding process and ensures a consistently high standard of product data, regardless of the size of the product catalogue.

GEO:

Optimising product master data positions a business for the next evolution in search: GEO, or generative engine optimisation.

AI language models are increasingly used by search engines (such as Google) to generate direct answers and product recommendations within search results. This shifts the visibility from traditional web links (which used to send people to your site) to in-search content. In other words, Google is enhancing experiences and engagement within its own site search system.

To remain competitive and visible, Retail and B2B organisations must optimise their product data to build out its presence in these AI-driven search experiences.

Greg Randall - the bridge between AI and eCommerce success

Greg Randall’s eCommerce expertise bridges the gap between cutting-edge AI technology and practical eCommerce applications.

By embedding AI thoughtfully across UX design, conversion rate optimisation, customer retention, and product data management, he ensures businesses not only keep pace with industry change but also lead the way in digital commerce evolution.

If you’re ready to unlock the full potential of AI in your eCommerce strategy, Greg Randall is the consultant who can guide your journey from planning through to real-world results.