Helio AI

Develop by Helio Ai

Free plan available

"HelioAI: Automate customer interactions, capture leads, and gain insights."

Product recommendations

Lead capture

Query resolution

24/7 availability

Automated support

Chat insights

About Helio AI

Launched Mar 09, 2025

Built by Helio Ai

Related Categories

Unlock Deals 20% off

BON Loyalty Rewards Program

(1,499 Reviews)

Unlock Deals 20% off

Sponsored

Loyalty rewards program with points, POS, referrals &...

Description

24/7 AI Chat: Automated Support, Personalized Upsells, Higher Conversions.

HelioAI empowers merchants by automating customer interactions, capturing leads, and providing actionable insights. It simplifies support, enhances engagement, and helps businesses efficiently. Chat Overview: See the number of live chats in real time. Lead Capture: Access AI messages with lead info (phone/email). Chat Insights: Get key analytics—query breakdown, popular products, top topics, and business suggestions. Query Resolution: A tab to manually resolve queries.

24/7 AI chat. Query general/product/order info.
Based on chat, products are recommended on the spot. Add to cart | View PDP.
When a user is on the cart page, the AI recommends products and tries to upsell.
User can raise a query for manual intervention if needed.

Pros

Automates customer interactions, freeing up resources for other tasks.
Captures leads efficiently with access to AI-generated messages containing lead info like phone and email.
Provides actionable insights through chat analytics, offering query breakdowns, popular products, top topics, and business suggestions.
Simplifies customer support and enhances customer engagement by offering 24/7 AI chat availability.
Recommends products in real-time during chats, potentially increasing sales by upselling and suggesting related items.
Allows for manual intervention in queries, adding a personal touch when necessary.

Cons

Automated interactions might lack the personalization and depth of human support.
Potential over-reliance on AI recommendations could result in missed opportunities for personalized advice.
Initial setup and integration could be complex for some users or require technical expertise.
The AI's understanding of nuanced customer queries might be limited, leading to potential dissatisfaction.
Users may find manual intervention necessary in cases where the AI's suggestions or resolutions fall short.