Discover & Audit
Reviewed 90 days of support tickets to identify recurring queries, volume patterns, and suitable automation opportunities.
E-Commerce
71% of Customer Support Tickets Resolved Automatically with AI
Autogility implemented an AI-powered support system trained on product information, FAQs, and policies, reducing repetitive support work and bringing first response times under 3 minutes.
EXECUTIVE SUMMARY
The Big Picture
The support team was handling more than 200 customer tickets each week, many of them covering the same recurring questions about products, orders, and policies. This created a growing workload, slower response times, and less time for the team to focus on issues that required human attention.
Autogility analyzed 90 days of support conversations and identified eight repeatable categories that could be automated. An AI customer support system was then built around the brand’s product information, FAQs, and policies, with automated responses for routine requests and escalation for conversations requiring human support.
CLIENT PROFILE
About the Client
A direct-to-consumer skincare brand operating through its own website and two marketplace channels. With a small dedicated team managing customer service, support requests were growing faster than the team could handle them.
Founded
Not Publicly Available
Headquarters
United States
Employees
3 Support Staff
Industry
E-Commerce
Focus
Skincare
Customers
Multi-Channel
PROJECT OBJECTIVES
Goals & Objectives
Five key outcomes from the AI-powered support automation system.
Reduce Response Times
Bringing average customer response time down from 6–8 hours to under 3 minutes.
Automate Repetitive Queries
Automatically resolving 71% of support tickets without human intervention.
Reclaim Team Capacity
Freeing approximately 28 hours of team time every week.
Support 200+ Weekly Tickets
Handling high-volume customer support through automated workflows.
Improve Support Coverage
Providing automated responses to recurring queries beyond regular support hours.
The Challenge
Growing Support Volume & Slower Response Times
As customer support requests increased, the team was spending significant time handling repetitive queries manually. Average first response times reached 6-8 hours, while complex issues continued to require direct team attention.
With 200+ support tickets each week, the need was to improve response efficiency without losing the human touch for more complex customer concerns.
Our Blueprint
The Three-Step AI Support Automation Process
A data led approach to automate repetitive customer support while keeping complex queries with the right human team.
Custom AI Implementation
Trained a custom AI Support Agent using product information, support policies, and brand guidelines to handle common customer queries accurately.
Integration & Training
Deployed AI customer support automation across chat and email, with intelligent escalation and performance tracking for queries requiring human attention.
The Platform
The Solution in Detail
AI-DRIVEN OPS
An AI Support System Built to Handle High Volume E-Commerce Queries.
The solution automates repetitive customer support across website and marketplace channels, using product information, policies, and brand knowledge to respond consistently while routing complex queries to human agents when needed.
AUTOMATION
71%
Tickets auto-resolved
RESPONSE TIME
<3 min
First response
Core capabilities
Core capabilities
Custom AI Support Agent
Handles repetitive e-commerce queries using product, order, and policy information.
Email & Chat Support Automation
Automates routine customer conversations while maintaining consistent responses across support channels.
Smart Escalation Routing
Identifies queries that require human attention and routes them with relevant conversation context.
Measurable Outcomes
Heading Impact Metrics & Key Results
Measurable improvements in support automation, response speed, and team efficiency across high-volume e-commerce customer support.
Support Automation Impact vs. Industry Benchmark
Measuring AI-driven gains across key support performance metrics.
71% Support Tickets Automated
AI resolves the majority of support queries without human intervention.
71%
AUTO-RESOLVED
AI Auto-Resolved
71%
Human Escalation
20%
Other Support Handling
9%
The Shift
Here’s What Actually Changes When Your
Sales Process Is Automated with Autogility
See how AI sales automation removes bottlenecks, improves follow-up, and creates a more reliable path to revenue
Manual Way
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Manual responses to recurring customer queries
-
Support workload dependent on team availability
-
6-8 hour average first response time
-
After-hours queries waiting for the support team
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Team time spent heavily on repetitive requests
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With Autogility Systems
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Automated responses for recurring customer queries
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AI Support Agent available beyond regular support hours
-
First response time reduced to under 3 minutes
-
Complex queries routed to the appropriate team member
-
Approximately 28 hours of team capacity reclaimed weekly
PROBLEM SOLVING
Challenges & Resolution
01
Resolved
Repetitive Support Volume
The Challenge
A high volume of recurring customer queries required significant manual effort.
Our Resolution
Analysed historical support tickets and identified recurring query categories suitable for AI-powered automation.
02
Resolved
Slow Response Times
The Challenge
Customers faced average first response times of 6–8 hours.
Our Resolution
Implemented an AI Support Agent to provide faster responses to common customer queries.
03
Resolved
Complex Query Handling
The Challenge
Not every customer issue could be resolved through automation and some required human attention.
Our Resolution
Built escalation workflows to route complex queries to the appropriate team member while maintaining relevant context.
FAQ
What Most Businesses Want to
Know Before Getting Started.
A few common questions around AI automation, implementation, timelines, and what this can actually look like inside your business.
What Businesses Want to Know Before Getting Started
Common questions about AI customer support automation, implementation, and ongoing support.
How does AI customer support automation work?
It analyses recurring customer queries, provides automated responses to suitable requests, and escalates complex cases to the appropriate team member.
What information does the AI Support Agent use?
The agent is trained using relevant product information, support policies, and brand guidelines to provide consistent and accurate responses.
Can AI handle complex customer queries?
Complex, sensitive, or high-value queries can be identified and routed to a human team member with the relevant conversation context.
Which support channels can be automated?
The system can be deployed across channels such as chat and email, allowing businesses to manage recurring customer queries more efficiently.
How do you identify which queries should be automated?
Historical support data is analysed by query type, frequency, and complexity to determine which interactions are suitable for automation.
Case Studies
Where AI Starts Creating Real
Business Impact
Every custom automation we build is designed around one outcome “Measurable Impact”. Here's
what happens when the right AI systems are implemented in the right businesses.
E-Commerce
7-Figure DTC Skincare Brand
71% of Customer Support Tickets Resolved Automatically with AI
Deployed a custom AI support agent trained on the full product catalog, FAQs, and policies. Integrated with helpdesk platform, built smart escalation routing, and added proactive post-purchase communication flows to reduce inbound volume.
71% OfTickets Auto-Resolved
3 MinutesAverage First Response Time
28 HoursReclaimed by the Team Each Week
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Home Services
Business Process Automation · AI Workflow Automation
From Quote to Booking: One Automated Workflow Across Four Locations
A multi-location home services company with four separate manual processes, an overwhelmed admin team, and an owner fielding daily operational problems. After automation, admin hours dropped 78%, quote-to-booking fell from 3 days to 5 hours, and the business saved $67K annually.
78%Admin Hours Saved
Under 5 HoursFrom Quote to Booking
$67KAnnual Overhead Saved
