1. AI Helps Buyers Compare, Understand & Decide Better

AI tools are increasingly being deployed to assist shoppers with product discovery, personalisation, and informed buying decisions. For example:

  • Amazon is trialling AI shopping assistants that understand natural language prompts to suggest product matches, and a health chatbot that helps users find appropriate products and information.
  • Amazon is also testing AI-generated audio product summaries, summarising reviews and product details to aid customer understanding.
  • Grocery platforms like Instacart are integrating AI to support dietary needs recommendations and tailored product suggestions.
  • And, of course, Onnero is building AI into it’s D2C platform to provide consumers with a comprehensive product analysis an personalised recommendations – answering the question “what’s best for me?”

This reflects a broader industry move toward AI-assisted research and purchasing, which makes it easier for consumers to compare products, understand ingredients, sourcing, how items are processed and find the items best suited to their needs.

2. AI Is Driving Personalisation & Predictive Shopping

AI’s ability to synthesize past behaviour and real-time signals enhances personalisation:

  • Brands see AI-driven personalisation as critical to customer retention and satisfaction, with deep investment in targeted offers, real-time recommendations, and cross-channel personalisation.
  • AI platforms can now use predictive analytics to tailor communication and offers – a key driver in increasing relevance and reducing churn.
  • Recommender systems, powered by machine learning, are already a core part of e-commerce product discovery.

AI personalisation can significantly reduce decision friction and increase conversion, particularly as consumers become more accustomed to tailored experiences – again answering the question “what’s best for me?”

3. Agentic Commerce Is Emerging

AI is poised to go beyond recommendations to act as a consumer’s personal shopper:

  • “Agentic commerce” refers to AI agents that search, compare, and complete purchases with minimal user input.
  • Analysts forecast nearly half of online shoppers using AI agents by 2030, adding billions to e-commerce revenue due to easier discovery and frictionless buying.
  • The global AI powered D2C economy is forecast to reach AUD4.2T by 2033, though this might be very conservative, given the rapid rate of technological development and consumer adaptation.

This suggests dramatic shifts in how consumers interact with businesses – from manual browsing to AI-assisted or AI-driven purchasing.

📉 Challenges & Consumer Sentiment

Trust & Transparency Are Core Issues

Although AI offers personalisation, consumer confidence isn’t automatic:

  • Many consumers remain sceptical about AI, sometimes perceiving little impact on their shopping experience and still preferring human insight over automated suggestions.
  • Data privacy concerns are substantial – with consumers wanting transparency about how their data is used and AI recommendations are generated.

Implication: Successful AI adoption hinges not just on technology but on ethical deployment and trust-building. Retailers and brands that attempt to use AI simply as a marketing tool risk eroding consumer confidence in them and therefore relevancy.

📈 What This Means for the Future of Consumer Commerce

AI Will Make Product Transparency & Traceability More Accessible

AI can aggregate and communicate product details (ingredients, sourcing, processing methods, sustainability profiles) more efficiently than traditional search tools. Platforms that combine AI with robust data about product origins and quality, processing or manufacturing methods, and sustainability will help consumers make healthier and more ethical decisions.

Case evidence shows traceability initiatives (often AI-enabled) can increase consumer trust and repeat purchases – for instance, transparent traceability increased customer retention and sales in ethical apparel and other products.

Conclusion: Consumers increasingly want deeper product context – and AI both reduces the effort required to find it and raises expectations for accuracy and transparency.

D2C Has a Competitive Edge in Personalisation & Data

AI supports personalised experiences, which are cornerstone strengths of D2C brands (high first-party data usage, direct communication, tailored offers) relative to traditional retailers. Brands that sell via platforms such as Onnero have a distinct advantage in this regard as they retain control over the relationship with their customers unlike retail where the retailer owns the customer experience. Research suggests that consumers appreciate AI personalisation and that 70% see AI as improving personalisation and overall customer experience.

Traditional retailers are trying to adopt AI to match these capabilities, but D2C brands often have an edge in agility, data capture, and integrated customer experiences. Manufacturers and brands that sell on platforms such as Onnero have a further advantage of improved fulfilment capability at reduced cost – often saving up to 50% on fulfilment and around 40% on marketing.

Conclusion: AI-powered personalisation will broaden the competitive advantage of D2C businesses – while traditional retailers are pushed to innovate rapidly to improve customer experiences and reduce prices or risk customer attrition.

Retailers Will Need to Redefine Engagement or Disappear

AI could shift customer relationships – permanently:

  • AI assistant platforms are predicted become the primary interface through which consumers discover products, lessening direct retailer control over customer interactions.
  • To compete, retailers will need to integrate with AI platforms while preserving their brand identity, data ownership, and trustworthiness – which won’t be easy, quick to implement or cheap.

AI’s Role in Shopping

  • AI tools are increasingly used for personalised recommendations, guided product discovery, and conversational search.
  • Food, grocery and diet-specific shopping experiences are being enhanced with AI to aid healthier selections.
  • Personalised AI experiences correlate with higher consumer engagement and conversion rates.

Consumer Trust & Behavior

  • Many consumers still remain cautious about fully trusting AI recommendations and prefer some human control. Onnero’s AI powered platform is supported by qualified and experienced personal health coaches to support consumers through their rapidly changing shopping experience.
  • Transparency and ethical data use are crucial for adoption.

Impact on D2C vs Traditional Retail

  • AI personalization is helping D2C brands strengthen loyalty and reduce churn.
  • Traditional retailers are deploying AI in a last ditch effort to keep up, improve personalisation and supply chain agility – but with limited success so far.
  • Consumer commerce models that combine trusted physical presence with AI capabilities and strong online capabilities may offer the strongest competitive stance.

Strategic Implications

Consumers will increasingly rely on AI agents for product comparison, tailored recommendations, and even purchasing decisions.

AI-enabled transparency around sourcing, traceability, and product quality will become a differentiator, pushing consumers toward platforms and brands that provide genuine value and clarity.

The future of consumer commerce will hinge on trustworthy AI, integrated personalisation, flexible and seamless customer experiences.

Retailers that stock brands that don’t provide clarity around sourcing, ingredients, manufacturing processes, traceability and quality risk irrelevancy.