Products

Solutions

Resources

Pricing

Book Demo

Products

Solutions

Resources

Pricing

Book Demo

AutoStack.ai

Sell more and delight buyers with AI for Automotive

Deploy 'human-like' AI agents trained and designed for automotive companies with your existing DMS and CRM

Watch Demo Video

Pohanka Automotive Group
Royal Enfield
Volvo
Bajaj
Maruti
Ather
TVS

Why use AutoStack.ai ?

AI stack that adds intelligence to your DMS and CRM stack

Why use AutoStack.ai ?

AI stack that adds intelligence to your DMS and CRM stack

Why use AutoStack.ai ?

AI stack that adds intelligence to your DMS and CRM stack

Reduce your average handling times by 50%

Respond to customer queries faster with our AI agents, tuned to carry context-aware conversations

End-to-end automation of enterprise workflows

Embedded contextual memory for all conversations

Cross-platform deployment (Web, Chat, Voice, Widgets)

Start Free Trial

Customer satisfaction with 30% higher NPS

Agents.ai results in multifold increase in customer engagement and higher retention

Higher self-serve rates due to custom workflows

Pre-emptive escalation management

Regional language support from Day 0

Start Free Trial

Reduce your customer service costs up to 30%

Agents.ai releases bandwidth of L1 teams which can be focused on escalation resolution

Autonomous and real-time interactions

Guided workflows for empowered decision making

In-built escalation prevention mechanism

Start Free Trial

Contact

Deployment options

Cross-platform deployment capabilities

All our deployments are powered by secure, enterprise-grade integrations across channels

API integrations

Plug-and-play API integrations with your environment

Browser plug-in

Easy to use browser extensions to act as a co-pilot for your teams

Whatsapp and widgets

Deploy across channels with WhatsApp and widget integrations

Page embeddings

Bring to life your existing web applications with our page embeds

Deployment mechanism

Deploy Agents.ai in 3 quick steps

Our configurable and 'plug-and-play' modules enable faster deployment

Upload your manuals

Easily share and leverage relevant knowledge base files

Connect your data

Seamless integrations with your data systems

'No-code' deployment

Our plug-ins enable rapid deployment

Applications of Agents.ai

Infuse intelligence in your front-facing teams

Organizations across sectors are transforming customer engagement through DocuStack.ai solutions

Automotive

Transformation of automotive customer support

Banking and Insurance

Automation of credit scoring and underwriting

Consumer and Retail

Coming Soon

Automated customer product discovery and order management

Manufacturing

Coming Soon

AI-based intelligent warranty management system

Enhancing automotive customer support with Agents.ai

Background

Our client, an automotive manufacturer, faced challenges through high customer dissonance and low customer query resolution. With a growing number of customer interactions across various channels, our client sought a solution that could automate its support processes, improve response times and result in higher retention.

Objectives

Improve Response Time: Reduce the average response time for customer inquiries.
Enhance Customer Satisfaction: Increase overall customer satisfaction scores.
Reduce Support Costs: Lower operational costs associated with customer support.

Solution Overview

DocuStack.ai's Agent.ai, an AI-powered solution designed to provide context-aware responses and assist human agents in managing inquiries was implemented across chat and voice modes. The product utilizes custom AI models to understand customer queries, profile an incoming customer and provide relevant responses without manual intervention

Results

Improved Response Time:
- The average response time for customer inquiries decreased from 24 hours to under 2 minutes
Higher Customer Satisfaction:
- Customer satisfaction scores improved by 30% within the first three months of implementation
Cost Savings:
- Reduction in support operational costs by 35%, as fewer human agents were needed to handle the volume of inquiries