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Connect with Consumers Anytime, Anywhere

Establish 24/7 connections with consumers across brand websites, apps, social media, and other digital channels

Personalized Customer Service

Provide precise, personalized services to consumers, enhancing customer experience

Handle Massive Customer Inquiries

Capable of handling large volumes of customer inquiries simultaneously, effortlessly managing peak sales seasons and shopping surges

Core Business Scenarios

Providing Full Lifecycle Services for Consumers

Intelligent Shopping Guidance

Accurately identify customer inquiry intent, proactively provide personalized product recommendations and promotional information, boost sales, and improve purchase conversion rates

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Intelligent Shopping Guidance

Order Management

Automatically handle common inquiries such as order queries, returns and exchanges, and logistics tracking, reducing wait times and improving customer satisfaction and shopping experience

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Order Management

After-Sales Troubleshooting

When customers encounter product issues, it accurately identifies faults through multi‑turn dialogue combined with images or videos, independently guiding customers through troubleshooting steps to improve resolution efficiency

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After-Sales Troubleshooting

Installation, Repair & Intelligent Follow-up

Automatically identify customer service needs such as repairs and installations, generate work orders and dispatch to relevant personnel. Upon service completion, it automatically initiates satisfaction follow‑ups, forming a complete customer service loop to enhance the overall customer experience

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Installation, Repair & Smart Follow-up

Quantified Effects

Quantified Effects

Clear Return on Investment

Automatically handle 90% of common customer Inquiries

After-sales problem resolution time reduced by 60%

Customer satisfaction increased to 92%+

Average purchase conversion rate increased by 3040%

Ushering a New Chapter in Intelligent Conversations

Let Zenava AI empower your enterprise to intelligently upgrade customer conversation scenarios

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