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 tools to transform eCommerce channel performance.

Greg delivers AI eCommerce consulting services that focus on retail strategy, technical expertise, AI platform integration, with a proven track record of delivering measurable results in eCommerce.

The following are examples of how Greg safely integrates AI tools into online Retail and B2B channels...

  1. eCommerce strategic planning to define the AI roadmap.
  2. Driving personalised experiences through the activation of the right AI tools.
  3. Leveraging AI to drive and scale customer retention strategies.
  4. Using AI in eCommerce conversion rate optimisation and UX design planning.
  5. Enriching product master data to feed into other AI models to drive growth.

Click here to learn more about Greg's AI eCommerce consulting services, or read on below...

AI Strategic Planning

Successful AI adoption demands more than simply implementing new technologies—it requires a strategic approach that aligns technology, data, and business objectives.

Greg Randall is a specialist in AI-specific strategic planning, working with businesses to construct a roadmap written in business language.

This roadmap provides executives with a structured plan for introducing AI tools into online retail to produce measurable outcomes.

Learn more about Strategic Planning

AI eCommerce Conversion Rate Optimisation

This process is a mix of AI tools combined with Greg's 25 years of experience in improving online channel revenue performance.

  1. AI data mining tools are used to unpack and identify high-impact website performance issues.
  2. Different remedies are identified to resolve the performance issues.
  3. Solutions are commonly loaded into AI-driven AB testing tools to identify the best option.

Greg's experience in producing solutions to fix performance issues is key.

It’s all well and good to have an AI AB testing tool; however, if you plug in average solutions, no value comes.

Learn more about eCommerce CRO

AI eCommerce UX Design

Greg utilises AI tools to generate insights that reveal consumer buying intent, which informs the planning and optimisation of new user experiences.

This validated data guides the construction of wireframes. AI tools contribute to this process.

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

The AI-driven wireframes are a good start, but they 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.

Learn more about UX Design

AI Driven Customer Retention

Greg works with businesses to integrate various data sets and enable AI models to drive hyper-personalised experiences that bring customers back (post-purchase) for the purpose of driving repeat purchasing behaviours.

This process is strategic (see strategic planning above) and encompasses...

  1. Establishing new data capture methods
  2. The right utilisation of AI tools
  3. Setting these systems up to scale
  4. Introducing new monitoring methods so the business can track retention growth

Greg’s approach highlights the untapped opportunities in using AI to retain existing customers and build loyalty—when planned and executed with care.

AI and Product Master Data: preparing AI Food for the future of SEO and GEO

A known limiting factor for growth in both Retail and B2B businesses is the quality of product master data.

Product Master Data - Definition:

Product master data is the central record containing all the key information needed to identify, describe, and manage each product a retailer/B2B sells, manufactures, or distributes.

Product master data serves as a digital passport or “single source of truth” for every product, storing all essential information about the product in one reliable location.

Product Master Data is "AI Food":

Product master data is "AI Food" for AI models. And when this "food" is of a high standard, it forms the foundation for many AI-driven hyper-personalised online retail experiences.

Greg has firsthand experience using AI models to automate and enhance product master data, scaling the product onboarding process and producing a high standard of data integrity, regardless of product catalogue size and complexity.

GEO:

Optimising product master data positions a retailer (and B2B) for the next evolution in AI search: GEO, or generative engine optimisation.

Consumers are interacting more with ChatGPT-like systems and Google's Gemini AI search system to generate responses and produce recommendations within search results.

Businesses must recognise the gradual shift away from traditional web links (what Google presents) to a more conversational response.

To remain competitive and visible in the long term, retailers and B2B's must prepare and optimise product master data now to drive a presence in AI-driven search experiences.

Greg Randall - the bridge between AI and eCommerce success

Greg Randall’s eCommerce expertise bridges the gap between AI technologies and their practical application to enhance and enrich end-to-end online experiences for consumers.

By embedding AI thoughtfully, Greg ensures businesses not only keep pace with industry change but lead the way in the eCommerce AI evolution.

If you are 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.

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