Smarter Estimating
Detect estimating inconsistencies, flag unusual bid margins, suggest cost adjustments, and learn from historical bids.
Business impact: Fewer underbids. Better margin forecasting. Faster turnaround.
Power BI and AI
Four Power BI dashboards and five AI use cases built on top of the same data layer your shop runs on. No separate data project, no exported spreadsheet, no lag between what happened and what you can see.
Soule Software's Contract Management ERP system generates a wealth of data that is transformed into clear trends and summaries using Power BI dashboards.
Plant managers quickly view the upcoming scheduled and actual fabrication in a selected date range by type (stock, straight, heavy and light bent) and bar size. Dashboards show the capacity of each inventory location vs. scheduled, the actual man-hour per ton productivity vs. goal rates, overtime percentage, and scrap percentage at each plant.
These dashboards quickly summarize the current available inventory levels, upcoming material requirements, incoming purchase orders, and transfers between locations.
The Field dashboards show the estimated vs. actual performance of each job for both placing rates and crew mix costs. Data is automatically refreshed each night from the prior day's activity and calculates actual savings and overages for the job to date as well as projected cost savings at the end of each job.
Summarizes financial activity by region, customers, average selling price, operating costs, gross margin, and profit by project and product class.
Customizable dashboards from simple charts to advanced maps and interactive reports.
Automatic data refresh for tracking KPIs and operational metrics.
Drilldowns by region, salesperson, customer, inventory location, and project manager.
Analyze cost drivers, compare planned vs. actual production costs, and monitor margins by product type, size, and customer segment.
Track sales performance, order fulfillment, delivery timelines, high-value customers, and pricing trends.
Every use case is anchored to a business outcome you can measure. None of them require your team to manage a separate data pipeline.
Detect estimating inconsistencies, flag unusual bid margins, suggest cost adjustments, and learn from historical bids.
Business impact: Fewer underbids. Better margin forecasting. Faster turnaround.
Predict bottlenecks, analyze shop performance patterns, suggest scheduling improvements, and identify production inefficiencies before they impact delivery.
Business impact: Reduced downtime. More predictable output.
Forecast steel usage, detect abnormal inventory trends, and recommend restocking timing.
Business impact: Less capital tied up. Reduced emergency purchases. Improved cash flow.
Flag high-risk jobs based on historical data, identify cost variance patterns, and predict margin erosion before small issues become costly mistakes.
Business impact: Better decision making. Margin protection.
Summarize jobsite reports, detect delays from field updates, and identify recurring issues across crews and jobs before they compound.
Business impact: Faster root-cause identification. Documented trends across the field.