How Gutterglove resolved 99% of customer chats without human intervention using Expertise AI

Overview

Gutterglove is a mid-sized manufacturer of gutter guard systems based in Nashville, Tennessee. The company serves a diverse customer base, including DIY homeowners purchasing through retailers like Home Depot and Lowe's, wholesalers, and contractors.

With multiple brands and a wide range of products, helping customers quickly find the right solution is critical to driving conversions and maintaining a strong customer experience.

The Challenge

Before implementing Expertise AI, Gutterglove faced a common but costly issue: high volumes of inbound customer inquiries focused on product research.

Customers were frequently:

Asking basic questions already answered on the website
Struggling to find the right product for their needs
Reaching out via chat, email, and phone for guidance

This created two major problems:

1. Overloaded support team
A large portion of support time was spent answering repetitive questions.

2. Friction in the buying process
Customers had to pause their journey to ask for help, slowing down decision-making and impacting conversions.

"We felt that all the information needed was on our website, but customers were having a hard time finding it."
— Logan Ollinger, Customer Experience Manager, Gutterglove

Why Gutterglove Chose Expertise AI

Gutterglove evaluated 7-8 different AI chatbot solutions through a formal RFP process before narrowing it down to two final options.

Expertise AI stood out for two key reasons:

1. Multi-brand AI agents (no brand confusion)

Gutterglove operates across multiple brands, making it critical to keep product knowledge separated.

With Expertise AI, they were able to:

Create dedicated AI agents per brand
Ensure accurate, context-specific responses
Avoid cross-brand confusion

2. Seamless HubSpot integration

The tight integration with HubSpot ensured:

Smooth data flow between systems
Centralized customer insights
No disruption to existing workflows

"Being able to have multiple bots trained on different brands was vital for us."
— Logan Ollinger, Customer Experience Manager

Implementation

The rollout was fast and frictionless.

Setup time: ~30 minutes
Bot creation: As little as 5 minutes per agent
Support: Hands-on onboarding with consistent guidance

"It was super easy, super painless."
— Logan Ollinger, Customer Experience Manager

Results

21% reduction in product-related support interactions (YoY)

Gutterglove's primary KPI, product research inquiries handled by support staff, dropped significantly.

21% year-over-year decrease
Continuing to trend downward as the AI improves

Massive reduction in live agent escalations

The AI agent now resolves the vast majority of conversations without human intervention.

~300 chats in a week
Only 2–3 escalations to live agents

This means:

>99% of conversations handled autonomously
Significant reduction in support workload

Increased operational efficiency

With fewer repetitive inquiries:

Support agents focus on higher-value interactions
Reduced need for additional headcount
Improved team productivity

"It frees up my team to handle other responsibilities and reduces the need for headcount."
— Logan Ollinger, Customer Experience Manager

Improved customer experience

Customers now:

Get answers instantly
Avoid calling or emailing support
Move faster through the buying journey

This reduces friction and supports higher conversion potential.

"If we can save the customer a call or email, we can help them make decisions faster."
— Logan Ollinger, Customer Experience Manager

What If Expertise AI Was Removed?

Without the AI agent, Gutterglove would revert to:

High volumes of repetitive inquiries
Increased reliance on support staff
Slower customer decision-making

"We'd go back to lots of inbound chats and calls... and we'd be scrambling with headcount."
— Logan Ollinger, Customer Experience Manager

Who Should Use Expertise AI?

Gutterglove strongly recommends Expertise AI for:

Companies with high inbound support volume
Businesses with complex product catalogs
Teams looking to reduce support costs while improving CX

"Any company that wants to provide a good chat solution for their customers would benefit."
— Logan Ollinger, Customer Experience Manager

Looking Ahead

Gutterglove is already exploring additional use cases, including:

Expanding AI into conversion and sales workflows
Deploying internal knowledge base assistants for teams

Early feedback on internal use cases has been highly positive, signaling even broader impact ahead.

Try it on your site

Want to reduce repetitive support tickets and guide customers to the right product faster? Start with Expertise AI today.

Try Expertise AI