Ricki Larkin
Ricki leads AI implementation across commerce, content and operational workflows at iWeb. He writes about agentic commerce, AI-assisted product enrichment, retrieval quality, governance, and the commercial difference between AI demonstrations and AI systems that survive production use. Consistently focused on practical AI applications with measurable operational payoff.
- Notes published
- 9
- First note
- 8 Feb 2025
- Latest note
- 2 Jul 2026
- Contributing since
- 2025
- AI for commerce
- Automation
- Product data & PIM
Everything Ricki has filed.
Conversational commerce in B2B: the use cases that pay back inside one quarter
Don't get distracted by AI hype. In B2B, conversational commerce delivers ROI when it solves specific, high-cost problems like complex order entry or expert product discovery.
Ecommerce taxonomy strategy for complex B2B catalogues
A well-structured taxonomy is critical for B2B ecommerce, enabling efficient product discovery and improved conversions within complex catalogues.
Product data quality is the AI commerce question, not the model
AI in commerce is a data project with a model on top. The model is the easy part. The product data is the part that decides whether any of it works.
Your commerce platform is not the source of truth
Often, organisations treat their commerce platform as the definitive source of product data. This leads to inefficiencies and data inconsistencies.
Why your PIM project is not just a product team problem
A PIM project requires more than the product team. Understand why cross-departmental collaboration is crucial for PIM success and avoiding common pitfalls.
Where merchandising teams should refuse to hand work to an LLM
LLMs can automate some merchandising tasks, yet direct human intervention remains vital for brand representation, strategic decision-making, and sensitive data.
PIM as the source of truth: when it earns the title, when it does not
When does a PIM truly act as the source of truth for product data, and when does it fall short of this critical role? We unpack the conditions.
How bad product data quietly damages conversion
Substandard product data negatively impacts user experience and conversion rates. We discuss common data issues, their effects, and mitigation strategies.
Why complex catalogues need governance before automation
Organisations with complex product catalogues exploring AI automation need to prioritise governance first. Inconsistent data amplifies problems when automated.