Retail

AI Shopping Assistant for Retail

A large Retail Company needed a better way to help customers navigate a broad product catalog and move from product discovery to confident purchase decisions.

AXIA developed an AI Product Advisor that understands customer needs, recommends relevant products, builds personalized routines, and guides users toward product pages and cart actions.

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The Challenge

Traditional e-commerce navigation works well when customers already know what they want.

The problem starts when users arrive with an open-ended need:

• Which product is right for me?
• What should I choose for a specific concern?
• Which products work well together?
• What should my complete routine include?

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In these scenarios, category pages, filters, and keyword search often create more choice instead of helping the customer make a decision.

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What We Built

• AI Product Selector: understands customer needs and recommends the most relevant products.
• Personalized Recommendations: uses customer concerns, preferences, and product attributes to improve product matching.
• Routine Builder: combines several products into a complete personalized solution instead of recommending a single SKU.
• Commerce Actions: connects recommendations directly with product pages and add-to-cart actions.

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Intelligent Product Discovery

Customers can describe what they need in natural language instead of manually searching through categories and filters.

AXIA analyzes the request, searches the product catalog, and returns a curated set of relevant recommendations with supporting explanations.

From customer need to relevant products within one guided AI journey.

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From Recommendation to Cart

The experience is designed around commercial action rather than simple conversation.

AXIA can:

Understand the Need
Capture customer concerns, preferences, and purchase intent.

Recommend Products
Match the request with relevant items from the catalog.

Build Complete Solutions
Recommend multiple complementary products when appropriate.

Drive Commerce Action
Move users directly toward product details, cart additions, and purchase.

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Business Impact

Across approximately 12,200 launches, around 14.9% resulted in at least one product being added to the cart.

A total of 1,820 converting visits generated approximately 11,300 add-to-cart actions — an average of 6.2 products per converted visit.

A separate AI Product Selector also achieved a 32.5% completed recommendation rate, showing strong engagement with guided product discovery.

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More Than Product Search

Traditional site search helps users find products they already know.

AXIA is designed for customers who need help deciding what to buy.

The agent can understand open-ended intent, compare options, explain recommendations, combine products into personalized solutions, and connect the conversation directly with commerce actions.

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Built Around Retail Workflows

AXIA can be adapted for:

• beauty and cosmetics;
• fashion;
• wellness and supplements;
• consumer electronics;
• specialty retail;
• marketplaces and large product catalogs;
• DTC and e-commerce brands.

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Each implementation can use its own product catalog, recommendation logic, customer journey, interface, integrations, and commercial actions.

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