Four Seasons Heating & Cooling

Profile

Company Profile

Company

Industry

Trades & Labor / HVAC Service & Installation

Owner

Shawn Powell

Size

8 employees

Operations

Serving Beaufort, NC and surrounding Carteret County areas (residential & light commercial heating, cooling, furnaces, AC repair, mini-splits, geothermal)

challenge

The Challenge

Four Seasons faced significant operational inefficiencies stemming from their legacy dispatching and inventory systems. Key pain points included:

Manual van stock management leading to cost overruns
Wrong-parts-on-job errors
Inventory imbalances, causing both stockouts on trucks and excess obsolete parts
Service scheduling taking hours with suboptimal routing and technician utilization
Dispatch team lacking real-time visibility into technician location and parts availability

Solution

The Solution

Four Seasons deployed Lantern BRP across all field service and operations, leveraging the platform’s AI-native capabilities to transform dispatching, inventory, and customer service.
Projected Annual Savings: $285,000

Parts & Dispatch Optimization

Inventory Management

Service Optimization

Sales & Service Improvements

TOTAL

Annual Savings

$85K

$95K

$65K

$40K

$285K

Key Drivers

Component alternates, version control, procurement optimization

Demand forecasting, obsolescence reduction, return-trip prevention

Routing/WIP reduction, predictive maintenance, quality prediction

Lead scoring, forecast accuracy, customer retention

[ 01 ]

Parts & Dispatch Optimization: $85K

AI-driven analysis identified 50+ component substitution opportunities with equivalent quality at lower cost
Automated parts version control eliminated $18K in dispatch errors
Predictive parts pricing reduced procurement costs by 8%
Multi-level optimization reduced wasted trips by 12%

[ 02 ]

Inventory Management: $95K

AI demand forecasting reduced safety stock requirements by 18% while maintaining 99.1% service levels
Multi-truck inventory balancing eliminated $50K in obsolete and expired parts
Automated replenishment reduced return trips by 45%, recovering $35K in previously lost jobs
Real-time visibility eliminated emergency parts runs, saving $12K in expedited costs

[ 03 ]

Service Optimization: $65K

AI scheduling reduced technician idle time by 22%, freeing working capital
Predictive maintenance reduced unplanned downtime by 28%, saving $28K in lost billable hours
Quality prediction reduced rework by 19%, saving $20K annually
Routing optimization increased effective capacity by 11%

[ 04 ]

Sales & Service Improvements: $40K

Predictive lead/job scoring increased technician efficiency by 24%
Service forecasting accuracy improved from 71% to 89%, enabling better crew planning
Customer churn prediction enabled proactive retention, reducing churn by 15%
Cross-sell recommendations increased average job value by 12%

[ 05 ]

Implementation Timeline (14 weeks total):*

Week 1 - Week 3

Discovery and Planning

Week 4 to Week 6

Data Migration and Configuration

Week 7 - Week 8

Testing and Training

Week 9 - Week 10

Go-Live and Optimization

*Compared with 12-18 months for traditional field service platforms

Testimonial

Customer Quote

“As an HVAC contractor with years of experience installing and servicing high-efficiency systems, integrating LanternBRP has been a game-changer for our business. The seamless compatibility with our existing equipment allows us to offer smarter, more responsive building readiness solutions to our customers. It’s improved our installation efficiency and given our clients better control and peace of mind. We’re excited to recommend LanternBRP to any contractor looking to stay ahead in the industry.”

Transforming Field Service Efficiency with AI