Unlocking the Power of AI to Drive Growth

The Challenge

Our customer, a prominent Environmental Services company in the Industrial Services industry, faced significant operational challenges. With annual revenue of $65 million and 175 employees, this company offers a range of services including waste removal, sustainability initiatives, commercial power-washing, and commercial cleaning.

Despite their success, their ambition to scale the business was hampered by nearly 100% manual processes. The company’s centralized operations unit struggled with poor data quality due to these manual processes. The tools they used – such as Front, Jobber, and QuickBooks – were insufficient for their needs. Their facility was at capacity, limiting their ability to hire additional staff. Additionally, their data architecture was flawed, leaving them unable to answer critical business questions due to a lack of clear data definitions.

The company was acutely aware of these limitations and previous attempts to resolve these challenges did not fully deliver the desired results.

The AI Solution

Understanding the gravity of their challenges, the customer turned to PrimeAI to implement advanced AI Engines solutions.

PrimeAI integrated AI/ML capabilities into the fabric of their operations, automating their entire job lifecycle, and resolving the fundamental issue of the direct correlation between hiring and business growth. The solution quickly integrated their existing data to maximize the benefits of the AI Engines, despite the initial disparate data in their architecture. The AI Engines introduced included:

Pricing Optimization Engine: This engine generates optimal job pricing in real-time based on job requirements and vendor availability, ensuring competitive and profitable pricing strategies.

Workforce Routing Engine: This engine optimizes the matching of vendors with end-of-life (EOL) facilities and landfills based on load type and distance, reducing transportation costs and improving efficiency.

Vendor Matching Engine: It intelligently matches vendors with jobs based on location, material, and other factors, integrating personalized client needs using vendor reliability information.

Vendor Segmentation Engine: This engine quantitatively ranks vendors based on variables like past performance and capabilities, incentivizing vendors to adopt desired behaviors to maintain high scores. It provides crucial data for vendor selection and dynamic pricing models.

Service Quoting Engine: This engine creates quotes in real-time based on client location, load size, and materials. It offers price comparisons between sustainable EOL facilities and landfills, promoting environmentally friendly options.

Customer Service Rep (CSR) Engine: It streamlines the auditing process by automatically matching completed jobs with receipts and deploying models to flag anomalies, significantly reducing manual effort.

The Results

Since implementing PrimeAI’s engines, the company has seen substantial improvements in profitability and cost reduction. The automation of job lifecycle processes has led to significant time savings and decreased operational costs, enabling the business to explore new markets. The company is now positioned as a leader in their space, with a strong focus on technology-driven solutions.

The efficiency gains have been remarkable. The Customer Service team, which previously cost $3 million annually and consisted of 85+ employees, has seen a dramatic reduction in workload and costs due to the elimination of manual data entry and the automation of auditing processes.

By implementing AI Engines technology, the company has effectively addressed their immediate operational challenges and established a solid foundation for future expansion. They can now scale their business efficiently without a proportional increase in full-time employees, positioning themselves as a leader in innovation and forward-thinking within the Environmental Services industry.