
Personal shoppers for every visitor — at scale
Our AI Shopping Assistants transform the online shopping experience from passive browsing to active, personalized guidance. Using advanced recommendation engines, natural language understanding, and behavioral analysis, the assistant engages visitors in real-time conversations — understanding their needs, suggesting products, comparing options, and guiding them to purchase. It's like having a knowledgeable sales associate for every visitor, 24/7.
42%
Conversion Rate Increase
35%
Higher Average Order Value
60%
Cart Abandonment Reduction
3.2x
Customer Engagement
Key Features
Customers describe what they're looking for in natural language — 'I need a gift for my mom who loves gardening' — and the AI surfaces the perfect products from your catalog.
Customers upload photos of items they like, and the AI finds similar products in your inventory using computer vision and style matching algorithms.
Side-by-side product comparisons generated on the fly, highlighting differences in features, pricing, reviews, and compatibility based on the customer's stated priorities.
Machine learning models analyze browsing history, purchase patterns, and real-time behavior to suggest products each customer is most likely to buy.
Intelligent follow-ups for abandoned carts with personalized incentives, plus contextual upsell and cross-sell suggestions during the shopping journey.
AI-powered sizing recommendations based on customer measurements, past purchases, and return data — reducing size-related returns by up to 40%.
Real-World Results
A mid-size fashion brand deployed our shopping assistant to help customers find outfits based on occasion, style preferences, and body type. The AI suggests complete looks, handles size questions, and offers styling tips. Result: 42% increase in conversion rate and 28% higher average order value.
A consumer electronics retailer uses our AI to guide customers through complex product comparisons — laptops, cameras, smart home devices. The assistant asks about use cases, budget, and technical requirements to narrow down options. Result: Return rate dropped 35%, customer satisfaction up 40%.
A furniture company's AI assistant helps customers visualize products in their space, suggests complementary items, and handles custom order inquiries. Result: Average order value increased by 52%, with 3x more items per order.
A beauty brand's AI asks about skin type, concerns, and routine preferences to recommend personalized product regimens. It tracks what customers have tried before and adjusts recommendations. Result: Repeat purchase rate increased 67%.
FAQ