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PCO Intelligence,
All-in-one AI sales, communication and analytics platform for pest control

PCO Intelligence — AI Case Study

A comprehensive AI-powered business platform for pest control operators that unifies sales management, omnichannel communication, call analytics, business intelligence, inventory tracking, and ROI reporting — all in one system.

Client
PCO Intelligence
AI
Engagement
Design + Build
Full delivery
Year
2022
Delivered
Team
Woyce
4 disciplines
Stack
PHP · Angular
+ 5 more
Status
● Live
In production
🔒 pcointelligence.com/
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Pco Landing Page
01 / 10
The outcomes

Three numbers that
tell the story upfront.

01Calls handled
55%

Calls handled fully by AI

A comprehensive AI-powered business platform for pest control operators that unifies sales management, omnichannel commu…

02Reduction in
30%

Reduction in staffing cost

A comprehensive AI-powered business platform for pest control operators that unifies sales management, omnichannel commu…

03Customer satisfaction
4.4★

Customer satisfaction

A comprehensive AI-powered business platform for pest control operators that unifies sales management, omnichannel commu…

Want the full story? Keep scrolling for the problem we solved, what we built, and the results it delivered.
03 / 05
The problem

Before we got here,
here's what wasn't working.

PCO Intelligence is a full-stack operations and intelligence platform built specifically for pest control businesses. It replaces disconnected tools with a single hub that manages leads and deals, centralizes customer communication across channels, transcribes and analyses every call with AI, tracks technician inventory, and measures marketing ROI down to the exact campaign. Integrations with RingCentral, FieldRoutes, and VoiceForPest ensure data flows seamlessly across the existing toolchain.

“High variability in caller accents affecting call recognition accuracy”
— A core challenge we solved

We confirmed every challenge with the team before writing a line of production code. The right column lists the pain points we tackled head-on and how we approached each one.

What wasn't working

BEFORE

High variability in caller accents affecting call recognition accuracy

Supplemented Amazon Connect with a post-processing Python Lambda that uses fuzzy matching and a custom entity dictionary to improve recognition.

#1

Real-time inventory sync across multiple technician trucks and central warehouses

Built an event-driven sync layer using AWS that pushes stock delta updates to both the web dashboard and the mobile app within seconds of any change.

#2

Aggregating lead-to-revenue data from disconnected third-party tools

Created a unified data pipeline that ingests webhooks from RingCentral, FieldRoutes, and VoiceForPest into a central MySQL data warehouse for cross-source reporting.

#3
What they came to us with“We need this solved. Can you help?”
03b / 05
Our approach

Don't over-engineer.
Solve what matters, ship fast.

The instinct on complex projects is to rebuild everything from scratch. We pushed back. A full rewrite often means months of regressions while engineering rebuilds features that were already working.

We mapped the existing workflow against actual usage. The result was clear: a small set of features accounted for the majority of user time. We rebuilt the core, shipped fast, and extended outward.

Operating principleSolve the highest-leverage problems first. Validate before building. Ship a v1 that proves the concept, then iterate — rather than waiting for a perfect v1 that never ships.

On the technical side, we made clear decisions early and held them. The right column shows what we chose, and why.

4 decisions we made early

CHOSEN / REJECTED
Decision 01

Third-Party Workflow Integration — how we built it

Chose

Custom Third-Party Workflow Integration — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 02

Omnichannel Communication Hub — how we built it

Chose

Custom Omnichannel Communication Hub — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 03

AI-Powered Call Analytics — how we built it

Chose

Custom AI-Powered Call Analytics — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 04

Workforce Performance Analysis — how we built it

Chose

Custom Workforce Performance Analysis — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

04 / 05
What we built

8 features that
define the product experience.

Every feature was scoped and shipped with the same priorities: speed, reliability, and staying out of the user's way.

AI/Third-Party Workflow Integra…
Third-Party Workflow Integration
FEATURE 01

Third-Party Workflow Integration

Users can connect their existing tools, such as RingCentral, FieldRoutes, and VoiceForPest, directly into the platform. This integration ensures a seamless flow of data across different systems without manual data entry.

55%Calls handled fully by AI
AI/Omnichannel Communication Hu…
Omnichannel Communication Hub
FEATURE 02

Omnichannel Communication Hub

Users can interact with customers through a unified chat system that supports email, SMS, and instant messaging. This feature ensures all client communications are kept in one accessible location for better service.

30%Reduction in staffing cost
AI/AI-Powered Call Analytics
AI-Powered Call Analytics
FEATURE 03

AI-Powered Call Analytics

Users can access automated call transcriptions, summaries, and intelligent insights generated from customer conversations. This tool helps teams analyse call quality and identify lead qualification opportunities automatically.

4.4★Customer satisfaction
AI/Workforce Performance Analys…
Workforce Performance Analysis
FEATURE 04

Workforce Performance Analysis

Users can monitor technician performance and analyse revenue trends relative to time spent on jobs. This helps management optimise scheduling and improve overall operational efficiency.

AI/Business Intelligence Dashbo…
Business Intelligence Dashboards
FEATURE 05

Business Intelligence Dashboards

Users can view real-time analytics and custom reports through integrated Power BI and data warehouse tools. This allows business owners to make data-driven decisions based on live campaign and revenue performance.

AI/Advanced ROI Tracking
Advanced ROI Tracking
FEATURE 06

Advanced ROI Tracking

Users can analyse the complete journey from lead generation to revenue to determine the exact return on investment for marketing campaigns. This provides full visibility into which strategies are driving the most growth over time.

AI/PCO Inventory Management
PCO Inventory Management
FEATURE 07

PCO Inventory Management

Users can track stock levels across both main warehouses and individual technician trucks in real-time. The system also monitors material usage and automates compliance reporting specifically for pest control operations.

AI/Sales & Lead Management
Sales & Lead Management
FEATURE 08

Sales & Lead Management

Users can track calls, manage customers, and monitor deals from a centralised sales dashboard to improve performance. This system helps sales teams organise leads and close business deals more efficiently.

05 / 05
The outcome

What changed,
measured against the day-one baseline.

We benchmark before we touch anything, logging every metric below against its state before we wrote a line of production code.

Metric
Baseline
After Woyce
Calls handled fully by AIPCO Intelligence · AI
Legacy
55%
Reduction in staffing costPCO Intelligence · AI
Legacy
30%
Customer satisfactionPCO Intelligence · AI
Legacy
4.4★
Live project
PCO Intelligence
pcointelligence.com/
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