Leverage AI capabilities for better product discovery, reduced bounce rate, and lowered customer acquisition cost
Create a personalized e-store that mimics in-store shopping experiences. Leverage advanced ML algorithms that analyze user behavior-product views, clicks, add-to-wishlist
patterns-to predict and recommend products that shoppers would like. This increases visitor engagement, thereby reducing the bounce rate and maximizing revenue.
Empower modern consumers to help themselves by driving self-service on your e-commerce site. Provide answers to FAQs, and facilitate common tasks such as placing orders, checking status, requesting returns with powerful search. This reduces the friction on your e-store and creates a customer-centric experience.
Employ smart facets to guide shoppers to relevant products. Sticky Facets remember and apply the user’s previous selection of facets for the next search, hence eliminating the need to select them again. Nested facets divide existing facets into relevant sub-categories. The engine can also proactively create facets based on search trends. Then, the admins can fine-tune them for relevance.
Provide round-the-clock connectivity to your buyers with search-driven bots. Like a sales rep, they infer the shoppers’ preferences and answer their queries in real-time. They also aid with purchase transactions, offer product recommendations, and provide customer service to deliver a valuable experience.
Turn your visitors into loyal customers and advocates by creating a flawless search-and-shop experience. Advanced AI algorithms enable a host of features such as autocomplete and autosuggest as users type, spellcheck, ‘Did you mean’, and synonym mapping for smooth product discovery.
Revamp your product pages and design a UI that aligns with user expectations and drives maximum profit. Use detailed, user-friendly reports that reveal various metrics like Unsuccessful Searches, Total Searches, Conversion Rate, Add to Cart Rate, Average Order Value, and much more to evaluate your strategy.
