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AI Shopping Assistant for
eCommerce Personalization & Support

An AI-powered shopping assistant is integrated directly into the eCommerce platform.

Retail & E-commerce
Industry
Retail & E-commerce
Platform
DHUMA API
Use Case
AI shopping assistant · personalization & support
Technology
Latent Motion Diffusion Model (LMDM)
Compliance
ISO 9001 · ISO 27001 · ISO 42001 · HIPAA
30–50%
Increase in conversion rates
AOV
Higher average order value
Lower
Customer support costs
Longer
Session durations
Product overview
Challenge

The Problem

Modern eCommerce platforms (fashion, electronics, luxury marketplaces) struggle with:

High customer drop-off due to confusion

Lack of personalized product guidance

Overloaded customer support teams

Poor product discovery experience

No human-like shopping assistance at scale

This leads to:

Low conversion rates

High cart abandonment

Weak customer engagement

Expensive support operations

Solution

The Solution

An AI-powered shopping assistant is integrated directly into the eCommerce platform.

This system:

Understands customer intent in real time

Recommends personalized products

Guides users like a virtual store assistant

Explains product differences conversationally

Helps complete purchases faster

Every shopper gets a personal shopping assistant instantly

How DHUMA API solves this

DHUMA API powers an AI shopping avatar

Virtual fashion / product advisor appears on-site

Greets users like a real store assistant

Asks preference-based questions (budget, style, need)

Recommends curated product bundles

Handles objections ("too expensive", "not sure")

Provides 24/7 multilingual support

This feels like a luxury in-store shopping experience online

Industry challenge

Across eCommerce platforms

Too many product options overwhelm users

Generic recommendation engines lack context

Customer support is reactive, not proactive

No emotional engagement in buying journey

Poor guidance for first-time buyers

Result: lost conversions and abandoned carts

The DHUMA solution

DHUMA AI Avatar transforms eCommerce

Acting as a real-time shopping concierge

Personalizing product discovery

Improving decision-making speed

Reducing dependency on human support agents

Increasing engagement time on platform

Every user gets a guided shopping journey

Key features

Key Features

AI shopping assistant avatar

Conversational product discovery

Smart recommendation engine integration

Cart optimization suggestions

Real-time customer support

Multilingual interaction support

Expected impact

Expected Impact

30–50% increase in conversion rates

Reduced cart abandonment

Higher average order value (AOV)

Lower customer support costs

Improved customer satisfaction

Longer session durations

Conclusion

Conclusion

With DHUMA API, eCommerce platforms evolve into intelligent, conversational shopping experiences.

Every customer gets a personal AI assistant that feels like a luxury retail concierge

DHUMA API for intelligent, conversational shopping experiences.

Every customer gets a personal AI assistant that feels like a luxury retail concierge

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