"Excellent Price and Service Compared to Competition." Paul Cowans, Owner, Cowans Office Supplies
Fashion buyers don’t want to wrestle with menus. They want a confident and inspiring shopping experience. Across the industry, stores repeatedly hit the same four problems:
Industry-wide, sellers face the same recurring problems:
Navigation fatigue: Deep menus and layered filters make browsing slow and frustrating.
Overload from similar SKUs: Many products look alike on a grid; shoppers struggle to find the right style, fit, or combination.
Poor personalization: One-size-fits-all lists fail to reflect a shopper’s taste, past behavior, or intent.
Missed merchandising & bundles: Brands can’t reliably surface best sellers, high-margin combos, or limited-time offers at the moment a shopper is ready to buy.
Our client is a fashion & accessories retailer who manages a 2,000+ SKU catalog with wide style, size, and material variation. They needed a single, consumer-friendly discovery layer that could educate shoppers, promote curated bundles, and reduce time-to-checkout.
Traditional menus and filters overwhelm shoppers with too many clicks and too little clarity, making product discovery slow, tiring, and frustrating in our client’s store.
Shoppers spent too much time navigating menus and filters, leading to low engagement and drop-offs.
Customers had to open multiple tabs to understand materials, sizes, and care instructions.
Manually curated collections failed to highlight real-time best sellers and high-intent products.
Product queries, return inquiries, and bundle recommendations overloaded the support team.
Shoppers had to jump across several pages to complete a purchase, dragging down conversion speed.
Shoppers rarely discovered complementary items or value bundles on their own, leaving high-margin add-ons and cross-sells unnoticed.
The retailer implemented ConversionBox’s commerce-trained AI Shopping Assistant. The assistant ingests the full product catalog, learns product attributes and performance signals, and delivers personalized recommendations, bundled offers, instant product details, and checkout, all from a single conversational experience.
The assistant connected to the catalog and learned materials, sizing, fit notes, inventory, and performance signals without manual setup.
Shoppers received tailored product matches based on their questions and style needs, reducing browsing time and confusion.
Customers could view materials, size guidance, care instructions, availability, and fit recommendations directly inside the assistant.
Complementary products, bundles, and applicable discounts were automatically surfaced, and shoppers could add them with a single tap.
Frequently bought and top-revenue products were highlighted in real time, improving visibility for items that convert best.
The assistant shortened the buying journey by letting shoppers add items and complete checkout directly within the chat.
After launch, the brand saw clear business benefits, as shoppers find relevant products in seconds and move from discovery to purchase much quicker (checkout often completes in under a minute through the assistant).
Faster Discovery
Increased Engagement
More Conversions
ConversionBox AI Shopping Assistant converts intent into action by delivering tailored product matches, education, and bundles inside a single conversational flow.
