Maisie

Rather than waiting for customers to reach out with questions, Maisie proactively engages visitors at high-intent moments spending significant time on a product page, adding items to cart and pausing, or showing exit intent initiating conversations that address objections, surface relevant promotions, and guide shoppers toward the purchase decision with the kind of personalized assistance that would previously require a live sales associate.

The AI's product recommendation engine connects to the store's catalog and customer data to make relevant, contextual suggestions based on what the shopper is currently viewing, their browsing history, and the preferences expressed during the conversation delivering the cross-sell and upsell opportunities that increase average order value without the intrusive feeling of generic 'customers also bought' widgets.

For shoppers who abandon carts, Maisie triggers targeted re-engagement conversations via chat or email that address the most common abandonment reasons price concerns, shipping questions, uncertainty about sizing or compatibility with specific responses tailored to what the shopper had in their cart.

Maisie integrates natively with Shopify, WooCommerce, and Magento, pulling live inventory, pricing, and product data into conversations in real time so recommendations and answers are always accurate and current.

Its analytics platform measures the direct revenue impact of AI-assisted conversations purchase rate for engaged versus non-engaged visitors, revenue per conversation by AI flow type, and average order value uplift from recommendation interactions providing the attribution data that justifies continued investment in conversational commerce capabilities.

For D2C brands looking to improve e-commerce performance metrics without simply increasing ad spend, Maisie provides a conversion optimization layer that works on the demand already arriving at the storefront rather than requiring more top-of-funnel investment to generate incremental sales.