Case Study

AI-Powered Bid Intelligence

A 110-year-old specialty contractor achieved 75%+ win-loss prediction accuracy, dramatically reducing time spent pursuing low-probability projects and protecting profit margins in volatile market conditions.

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$M+

Annual Revenue

Employees

Industry

Construction
Specialty Contracting

Function

Business Development
Operations

Technologies

Solutions Delivered

Custom ML Models
Data Evaluation
Salesforce Integration
Governance Strategy

Problem

Bidding decisions relied on subjective judgment, wasting resources on low-probability opportunities

Rising material costs and labor shortages demanded smarter resource allocation amid industry budget overruns averaging 28%

Manual processes consumed estimator time needed for strategic analysis and client relationships

Solution

Developed OptiCustomer, an AI solution to predict customer win probability using historical bid data

Conducted comprehensive data evaluation, including third party data such as unemployment rates and the SMP 500 daily close, to identify high-value predictive features

Designed data pipeline for ongoing model performance monitoring

Built machine learning models through iterative training and integrated scoring into Salesforce workflows

Established AI governance framework positioning technology as augmentation tool for human expertise

Benefits

Achieved 75% accuracy in predicting bid outcomes, enabling focus on high-probability opportunities

Reduced resources wasted on low-probability projects, freeing estimators for strategic work

Protected profit margins through improved resource allocation during market volatility

Created foundation for future AI initiatives through governance framework

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