Automotive - Fliweel.tech

Deploy AI and Automation in the Automotive Sector

Deploy AI and automation to propel your automotive sector towards lasting success.

Download AI Use Cases Guide

AI adopters that have a significantly higher profit margin due to proactive AI strategies

0 %

Source: McKinsey & Co.

Cost reduction with AI-enabled candidate screening

0 %

Source: Ideal

Level of improvement in inventory scheduling among early adopters of AI-enabled supply chain management

0 %

Source: McKinsey & Co.

Transform Automotive with AI and Automation

Enhance customer experiences and operational efficiency with tailored tech solutions.

AI/Gen AI/Machine Learning

Streamline Inventory Management, Personalise Customer Interactions, and Automate Maintenance Scheduling with AI and Machine Learning.

RPA

Automate Lead Management, Optimise Marketing Campaigns, and Enhancing Finance Operations with RPA.

Systems Integration

Unify data streams, streamline operations, and enhance decision-making by seamlessly connecting disparate systems across the organisation.

Chatbots/Copilots

Enhance customer support, personalise online interactions, and improve response times by deploying AI-powered chatbots that handle inquiries instantly.

Use Cases in Automotive

Elevate your enterprise with our integrated AI and automation capabilities. We’ll expertly merge cutting-edge technologies with tailored services to deliver transformative solutions.

Client Relationship Management

What It Is: AI-driven CRM systems to manage customer interactions and data.

Problem It Solves: Inefficient manual tracking of customer interactions.

How It Would Be Applied: Using AI to analyse customer data, predict needs, and personalise communication.

Business Impact: Enhances customer satisfaction and retention, and streamlines relationship management.

Document Automation and Management

What It Is: Automation tools that handle the creation, management, and storage of documents.

Problem It Solves: Manual document handling is time-consuming and prone to errors.

How It Would Be Applied: Implementing automation to generate, organise, and manage documents automatically.

Business Impact: Increases efficiency, reduces errors, and enhances document accessibility and security.

Automated Billing and Invoicing

What It Is: Automated and integrated systems for automated billing and invoicing.

Problem It Solves: Manual invoicing processes can lead to delays and inaccuracies.

How It Would Be Applied: Using automation to generate, send, and track invoices automatically.

Business Impact: Improves cash flow, reduces billing errors, and saves time on administrative tasks.

Inventory Management

What It Is: AI-powered systems for managing vehicle and parts inventory.

Problem It Solves: Overstocks and stockouts of vehicles and parts.

How It Would Be Applied: Using AI to forecast demand and optimise inventory levels.

Business Impact: Reduces holding costs, ensures availability, and improves cash flow.

Talent Acquisition and Recruitment

What It Is: AI-driven systems for automating the recruitment and hiring process.

Problem It Solves: Recruiting top talent can be lengthy and resource-intensive.

How It Would Be Applied: Using recruitment AI and automation to screen resumes, schedule interviews, and evaluate candidates.

Business Impact: Improves recruitment efficiency, reduces time-to-hire, and ensures better candidate fit.

Our automated hiring platform Fliweel ATS streamlines the entire hiring process.

Project Management Automation

What It Is: Automation tools that streamline project planning and execution.

Problem It Solves: Manual project management can be inefficient and prone to delays.

How It Would Be Applied: Using automation to schedule tasks, allocate resources, and track project progress.

Business Impact: Increases project efficiency, reduces delays, and ensures timely project delivery.

Chatbots and Virtual Agents

What It Is: AI chatbots and virtual assistants handle customer inquiries and support tasks automatically.

Problem It Solves: High volumes of routine customer inquiries can overwhelm support teams, leading to delayed responses and poor customer service.

How It Would Be Applied: Deploying AI chatbots on websites and apps to answer common questions and resolve simple issues instantly.

Business Impact: Enhances customer satisfaction through quick response times, reduces the workload on human support staff, and allows them to focus on more complex issues.

Case Study

Challenge

A leading automotive dealership with a diverse portfolio of new and used vehicles. The dealership faced significant challenges in managing customer inquiries and maintaining high levels of customer engagement. The manual process of handling queries was time-consuming and often resulted in delayed responses, leading to decreased customer satisfaction and potential loss of sales.

Objective

To enhance customer engagement, improve response times, and streamline the management of customer inquiries by implementing AI-powered chatbots.

Solution

The dealership partnered with an AI solutions provider to deploy an advanced AI-powered chatbot on their website and social media platforms. The chatbot was designed to:

Handle Common Inquiries: Provide instant responses to frequently asked questions about vehicle availability, pricing, financing options, and service schedules.
Personalise Interactions: Use natural language processing (NLP) to understand and respond to customer queries in a conversational manner, ensuring a personalised experience.
Schedule Appointments: Automate the scheduling of test drives, service appointments, and consultations with sales representatives.
Lead Generation: Capture customer information and generate leads by guiding users through inquiries and providing tailored recommendations based on their preferences and needs.

Implementation

Phase 1: Needs Assessment and Customisation
- Conducted a comprehensive needs assessment to understand the most common customer inquiries and pain points.
- Customised the chatbot’s knowledge base to include detailed information about the dealership’s inventory, services, and policies.
Phase 2: Integration and Testing
- Integrated the chatbot with the dealership’s CRM and inventory management systems to provide real-time information.
- Conducted extensive testing to ensure the chatbot’s responses were accurate and aligned with the dealership’s standards.
Phase 3: Deployment and Training
- Deployed the chatbot on the dealership’s website and social media channels.
- Trained staff on using the chatbot’s insights to follow up on leads and enhance customer interactions.

Results

Increased Customer Engagement: The AI-powered chatbot handled over 70% of customer inquiries, providing instant responses and freeing up staff to focus on more complex issues.
Improved Response Times: Response times to customer inquiries were reduced from an average of several hours to just a few seconds, significantly enhancing customer satisfaction.
Enhanced Lead Generation: The chatbot successfully captured and qualified leads, resulting in a 25% increase in test drive appointments and a 15% increase in overall sales.
Operational Efficiency: By automating routine inquiries and appointment scheduling, the dealership reduced the workload on their customer service team, allowing them to focus on high-value tasks.