The #1 retail experience platform Preezie shares how you can turn search, discovery, guidance, and support into high-impact, revenue-boosting shopping experiences, in this advertorial.
Today’s online shoppers expect more than quick answers – they want a seamless, personalised experience from start to finish. Forward-thinking retailers are using AI across search, discovery, personalisation, and support to replace outdated, one-size-fits-all journeys with dynamic, shopper-first experiences. If your site forces users to scroll without direction, filter through endless options, or guess due to a lack of guidance, they’ll bounce. That’s why leading Australian and global retailers are embracing AI-driven conversations that feel as natural as chatting with an expert in-store.
In this guide, you’ll discover how to:
- Transform static experiences into adaptive, conversational journeys
- Solve on-site discovery challenges with natural-language AI
- Guide and personalise the path to purchase
- Automate customer support to slash costs
By embedding an AI sales and service assistant powered by your own product catalogue, style guides, and policies, you’ll unlock hyper-personalised discovery, real-time support, and data-driven insights—fueling conversion uplifts, fewer support tickets, and richer customer experiences.
1. Transform static experiences into conversational commerce
Why traditional ecommerce experiences fail
Rigid navigation, clunky filters, and endless category trees frustrate shoppers. In fact, nearly 70% of carts are abandoned due to poor UX¹. Today’s consumers expect instant, tailored, conversational responses – but old-school linear journeys simply aren’t fast or flexible enough to meet their expectations.
Shift to adaptive, conversational shopping journeys
AI is already ubiquitous in daily life, from voice assistants and streaming platforms to social media algorithms and generative chatbots. Leading retailers now embed that same intelligence directly into their online storefronts. By letting customers “chat” their way to products – describing fits, occasions, or budgets – they get instant, context-rich results.
Case in point: After Blue Bungalow added preezie’s AI shopping assistant, time on site doubled among engaged users.
Actionable steps:
- “Ask AI” in the search bar
Place an “Ask AI” prompt front and centre. Shoppers type full-sentence queries – e.g., “Show me a floral summer dress under $150 for an outdoor wedding” – and get curated picks in seconds. - Smart triggers anywhere
Add “Similar styles” or “Tell me more” buttons on product, category, or banner pages to launch the AI assistant exactly when shoppers hesitate. - “Similar to” suggestions
When items sell out, AI instantly surfaces alternatives matching colour, style, and price – keeping customers engaged instead of bouncing.
The key is that AI should adapt to shopper intent in real time, not just serve up static filters. The best tools guide, not force, helping customers discover without friction.
2. Solve on-site discovery with natural-language AI
The discovery challenge
Standard search on most e-commerce sites still relies on exact keyword matches – missing typos, ignoring synonyms, and stumbling on multi-attribute queries like “black boots under $150”. New arrivals often fall through indexing gaps, while basic filters leave shoppers scrolling through hundreds of irrelevant SKUs.
AI-powered, intent-aware search
An AI shopping assistant understands full sentences, intent, and product attributes. It decodes conversational phrasing – “Find me a light denim jacket that pairs with black jeans” – and delivers precise matches.
Actionable steps:
- Natural-language understanding
AI parses complex shopper queries in real time, extracting attributes like occasion, fabric, size, and budget, delivering relevant results without extra effort from your team. - Clarifying question flows
If a query is vague, the AI asks follow-up questions (“What size are you after?”) to refine results. - Error tolerance & enrichment
Automatically correct misspellings, handle slang, and expand partial queries to ensure no shopper ever sees empty results. - Transcript-driven improvement
Regularly analyse chat logs to spot recurring queries or product gaps, then update your site’s metadata, AI prompts, merchandising, and marketing to close those gaps.
3. Guide & personalise shoppers towards conversion
From browsing to buying
Most visitors arrive top-of-funnel, exploring options without a clear purchase intent. AI assistants turn passive browsing into active engagement by offering tailored advice exactly when shoppers need it.
Hyper-personalised recommendations
By combining product data, shopper preferences, and past interactions, AI can suggest complete outfits, complementary bundles, or seasonal pairings.
Blue Bungalow Impact: They saw conversion rates increase by 85% –110% and add-to-cart rates jump by 40% among customers who engaged with the AI shopping assistant.
Actionable steps:
- Customised advice
Provide tailored pairings – like “These heels go perfectly with that midi skirt” or “This keyboard works seamlessly with that monitor” – to guide shoppers and increase average order value through curated, complementary bundles. - Accurate sizing guidance
Leverage model specs, detailed size charts, and shopper measurements to recommend the perfect fit, cutting returns and fueling confidence. - Side-by-side comparisons
Let shoppers compare fabric, fit, price, and reviews in a single AI-generated table, eliminating manual toggling between tabs. - One-click add-to-cart
Allow shoppers to add AI-recommended items directly to cart, shortening the path from discovery to purchase.
AI isn’t about pushing products; it’s about building shopper confidence so they compare, decide, and buy with certainty.
4. Automate support, integrate service & reduce costs
Why slow support kills sales
If a shopper waits more than 7–10 seconds for an answer2, frustration and cart abandonment rise. Traditional live-chat or email support simply can’t scale to meet real-time demand without ballooning headcount.
AI-driven service 24/7
AI assistants deliver instant, accurate responses to FAQs, shipping queries, and complex product questions—fueled by your own knowledge base and real-time chat history.
Actionable steps:
- Instant, context-aware self-service
Deploy AI chatbots on product, checkout, and help pages to resolve issues—from “What’s the return policy?” to “Does this chair fit through a 75cm doorway?”—in under 10 seconds. - Seamless AI-to-agent handoffs
For sensitive or complex inquiries, AI can seamlessly transfer the full chat transcript to a human agent—preserving context and eliminating the need for repeat explanations. - Transcript-based optimisation
Mine AI interaction logs to uncover recurring pain points, knowledge gaps, and trending questions. Feed these insights back into product copy, AI training data, and support workflows to continuously raise first-contact resolution rates.
Efficiency in action: Blue Bungalow answers tens of thousands of queries per month at under $0.10 each, with over 90% accuracy – driving both sales and service excellence.
Conclusion
AI-powered growth
The era of static, one-size-fits-all experiences is over. AI shopping assistants transform every stage of the customer journey – delivering frictionless discovery, hyper-personalised guidance, and instant, brand-aligned support. The results are clear: more engaged customers, reduced support costs, and stronger shopper trust.
To thrive in an increasingly competitive e-commerce landscape, brands must marry technology’s speed and scale with their own unique voice and values. By embedding AI guardrails that enforce tone, policies, and compliance, you ensure every interaction feels authentic and on-brand, turning casual browsers into repeat customers.
Ready for AI? Rethink how customers shop.
Download the full e-book and discover how to move beyond rigid funnels and create seamless, guided shopping journeys with AI. Learn how top retailers are helping shoppers find what they want – fast, easily, and without adding to your dev team’s workload. Grab your copy now!
Contact us:
info@preezie.com
www.preezie.com