DTAI Assistant

AI Assistant — Smart Service Layer for Customer Support and Product Guidance

Smarter support, seamless service, personalized sales

Let's see how we can help you

Let's see how we can help you

Smarter help, fewer steps

Meet the AI Assistant — your always-on guide to orders, products, and more

For brands offering configurable products or personalized services, customer support is a part of the product journey. The AI Assistant streamlines that experience with an intuitive, conversational interface that understands customer intent, accesses the right data instantly, and even takes action when needed. Fast delivery and context-aware support without long wait times or manual handoffs.

From friction to flow

Real problems, smart fixes

Repetitive support questions overload your team

Problem

Human agents waste time answering the same FAQs or looking up order info manually

AI fix

The AI Assistant deflects basic questions and retrieves answers instantly

Delayed or impersonal responses frustrate customers

Problem

Bulky access to help centers or slow replies drive customers away

AI fix

The AI Assistant responds immediately with relevant, 24/7 personalized support

No connection between product interaction and support

Problem

Customers configure a product online, but hit a wall when they need help or want to follow up

AI fix

Our assistant continues the conversation and supports the journey from product discovery to post-sale care

No recommendations or upsell support during service

Problem

Support touchpoints are underused opportunities

AI fix

Integrated logic suggests accessories, upgrades, or relevant products right when the customer is engaged

Scaling support means scaling headcount

Problem

Growth puts pressure on support teams and increases cost

AI fix

The assistant handles more interactions without growing your team, efficiently scaling your support capacity

Behind the scenes

How the AI Assistant works

The AI Assistant is a modular intelligence layer that connects to your help docs, order systems, product catalog, and internal tools. It understands natural language, retrieves context-specific data, and can even act inside legacy interfaces when needed. It supports:

1

Real-time question answering

1

Real-time question answering

1

Real-time question answering

2

Personalized assistance using customer data

2

Personalized assistance using customer data

2

Personalized assistance using customer data

3

Workflow automation (returns, updates, scheduling)

3

Workflow automation (returns, updates, scheduling)

3

Workflow automation (returns, updates, scheduling)

4

Smart recommendations

4

Smart recommendations

4

Smart recommendations

How we work

Flexible deployment to fit your stack

You can deploy the AI Assistant in multiple ways:

1

FAQ bot

Lightweight, trained on your help center — ideal for deflecting repetitive inquiries and available 24/7

1

FAQ bot

Lightweight, trained on your help center — ideal for deflecting repetitive inquiries and available 24/7

1

FAQ bot

Lightweight, trained on your help center — ideal for deflecting repetitive inquiries and available 24/7

2

Contextual agent

RAG-enabled agent that references order history, warranties, and customer data to provide personalized responses

2

Contextual agent

RAG-enabled agent that references order history, warranties, and customer data to provide personalized responses

2

Contextual agent

RAG-enabled agent that references order history, warranties, and customer data to provide personalized responses

3

Autonomous agent

Performs tasks inside backend systems like updating an order or processing a return without human intervention

3

Autonomous agent

Performs tasks inside backend systems like updating an order or processing a return without human intervention

3

Autonomous agent

Performs tasks inside backend systems like updating an order or processing a return without human intervention

4

Add-on: Product recommendation engine

Suggests accessories, upgrades, or alternatives directly within support flows or after configuration

4

Add-on: Product recommendation engine

Suggests accessories, upgrades, or alternatives directly within support flows or after configuration

4

Add-on: Product recommendation engine

Suggests accessories, upgrades, or alternatives directly within support flows or after configuration

Business value

What makes this a smart investment

Lower support costs

by automating high-volume requests

Lower support costs

by automating high-volume requests

Lower support costs

by automating high-volume requests

Higher satisfaction

with fast, relevant responses

Higher satisfaction

with fast, relevant responses

Higher satisfaction

with fast, relevant responses

More conversions

through embedded product suggestions

More conversions

through embedded product suggestions

More conversions

through embedded product suggestions

Stronger customer journeys

with continuous support from configuration to post-sale

Stronger customer journeys

with continuous support from configuration to post-sale

Stronger customer journeys

with continuous support from configuration to post-sale

Scalable infrastructure

that grows with your business

Scalable infrastructure

that grows with your business

Scalable infrastructure

that grows with your business

Best fit

Is this solution right for you?

The AI Assistant is ideal for brands and platforms that:

1

Handle configurable or customizable products


1

Handle configurable or customizable products


1

Handle configurable or customizable products


2

Offer customer support at scale


2

Offer customer support at scale


2

Offer customer support at scale


3

Want to integrate AI without disrupting existing workflows


3

Want to integrate AI without disrupting existing workflows


3

Want to integrate AI without disrupting existing workflows


3

Need support tools that understand product logic and real customer context


3

Need support tools that understand product logic and real customer context


3

Need support tools that understand product logic and real customer context


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