Global Equipment Manufacturer Increases Purchase Conversions by 20% with AI-Powered Predictive Maintenance
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A global leader in construction solutions partnered with Indicium to transform its aftermarket sales strategy through AI-powered predictive maintenance and intelligent pricing. By integrating Databricks, Azure Data Factory, and Power BI, the company built a predictive ecosystem to forecast part replacements, align inventory with demand, and equip sales teams with real-time insights. We applied an AI-driven pricing strategy solution and part number selection to optimize campaign strategies. This generated a 9% revenue increase, 20% higher conversion rates, and a 2% boost in market share.
Limited Visibility. Missed Revenue.
The manufacturer lacked the tools to anticipate equipment part failures with accuracy. It relied instead on reactive, manual processes that left sales and service teams scrambling. Parts were often replaced too late or too early, leading to missed revenue opportunities, prolonged customer downtime, and inefficient inventory use. Pricing campaigns faced similar issues, with poor part number selection, static pricing, and limited visibility that led to lost revenue and stalled market share growth. Aftermarket performance lagged due to the lack of a data-driven strategy, which affected profitability and customer satisfaction.
Predictive Intelligence Integration
Indicium designed and deployed predictive maintenance and pricing solutions that turned fragmented data into a commercial advantage. Using Databricks, Azure Data Factory, and Power BI, we turned telemetry, maintenance logs, and sales data into real-time insights. Machine learning models forecast part failures and surface proactive replacement recommendations. At the same time, sales teams gain visibility into demand and inventory, reducing downtime and increasing conversions.
An AI-driven pricing engine optimized campaign performance. The company centralized sales and elasticity data in Delta Lake, and applied RFV segmentation, elasticity regression, and predictive forecasting, which enabled the manufacturer to identify high-impact part numbers and price points. Business users adjusted strategies with Power BI dashboards and real-time pricing updates via Databricks SQL.
Revenue Up. Downtime Down. Loyalty Secured.
By transforming a reactive aftermarket model into a predictive, data-driven strategy, the manufacturer unlocked new revenue streams, improved customer satisfaction, and increased operational efficiency. The solution delivered measurable gains across commercial, technical, and strategic dimensions.
The following results highlight the business impact:
Revenue acceleration: 9% increase in parts sales from predictive recommendations at the right moment in the customer lifecycle, plus 7% growth through optimized pricing strategies
Sales efficiency: 20% increase in conversion rates through AI-driven replacement recommendations aligned with customer needs and part availability
Market expansion: Aftermarket market share grew by 2% through stronger customer engagement and better service outcomes
Operational optimization: Smarter inventory planning and reduced downtime across the fleet by aligning predictive insights with logistics and fulfillment
Customer loyalty: Shifted from reactive to proactive service, strengthening relationships through consistent, data-backed recommendations
Indicium’s Expertise and Collaborative Approach
The company needed a partner capable of embedding predictive intelligence into their aftermarket engine with precision, speed, and scale. Indicium delivered that with IndiMesh, a proven framework built on collective intelligence, deep technical expertise, and rigorous quality control.
We reengineered their aftermarket strategy to connect sales, service, and logistics through a predictive maintenance framework. This framework was reliable, scalable, and actionable. Built with Databricks, Azure Data Factory, and Power BI, the solution integrated seamlessly into the manufacturer’s ecosystem without disrupting existing workflows.
We extended the same architecture to pricing, which brought structure and intelligence to campaign planning. The solution incorporated RFV segmentation, elasticity modeling, and predictive sales forecasting. As a result, the company made smarter, more confident pricing decisions, achieved stronger alignment between pricing and business goals, and improved sales performance through data.
Indicium’s strength lies beyond just technical execution, and aligns teams around shared goals. With over 7 years of experience in the modern data stack, we help global enterprises move from siloed data to strategic intelligence.
Our delivery is fast, structured, and focused on real outcomes. For the manufacturer, that meant transforming predictive maintenance and pricing analytics from a concept into a competitive edge, with AI-powered solutions built for long-term growth and impact.
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