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Syncron Service Contract Performance

Syncron Service Contract Performance helps manufacturers lock in profitable long-term service revenue, strengthen customer relationships, and reduce competitive exposure.

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Protect Profitability

Predict service contract costs with greater accuracy and reduce margin leakage across your portfolio.

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Increase Recurring Revenue

Create competitive offerings that improve attach rates.

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Scale with Confidence

Support higher contract adoption and recurring revenue without increasing financial risk.

Contracts that Keep Pace with the Market

Successful service contracts depend on thousands of assumptions about future demand, failures, parts, labor, and customer behavior. Syncron Service Contract Performance combines cost prediction, pricing intelligence, and performance analytics to help manufacturers make smarter contract decisions before and after a contract is sold.

Cost Prediction using Service and Market Data

Localized Service Contract Pricing

Comprehensive Insights & Analytics

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Frequently Asked Questions

Have questions about our solutions? We've got answers.

What is Syncron Service Contract Performance?

Syncron Service Contract Performance helps original equipment manufacturers (OEMs) improve the financial performance of their service contracts. It combines advanced cost prediction, pricing management, and performance analytics to help manufacturers understand expected costs, develop competitive offers, and monitor contract results. The solution goes beyond pricing by connecting service and commercial data to decisions about contract design, profitability, and future offers. 

How can OEMs grow service contract revenue while protecting margins?

Growing service contract revenue profitably requires understanding the future costs an OEM is agreeing to cover. Service Contract Performance helps manufacturers evaluate expected costs, align coverage and pricing with profitability goals, and identify underperforming agreements. This helps OEMs avoid expanding their contract business using assumptions that secure revenue today but create margin losses over time. 

How does Syncron predict service contract costs?

Service Contract Performance uses machine learning to estimate contract costs from inputs such as service-event history, parts costs, labor, travel, and contract configuration. Additional context, including asset characteristics, usage, geography, and maintenance schedules, helps inform the expected cost to serve. These predictions provide a more reliable foundation with which to make decisions, without assuming every future repair or failure can be known in advance.

How can OEMs determine the right service contract coverage and packages?

OEMs can use cost predictions and contract performance insights to assess which services to include and how to package them for different customer needs. Understanding the expected costs of maintenance, repairs, and other service components helps manufacturers evaluate coverage options. This supports more tailored offers while keeping the financial implications of each package visible. 

How does Service Contract Performance support more competitive contract pricing?

Service Contract Performance uses predicted costs and customer-segment pricing logic to inform contract prices. A clearer understanding of expected service costs helps OEMs account for higher-risk agreements and recognize where more competitive pricing may be possible without sacrificing margin. This supports pricing decisions that balance profitability, market conditions, and customer value rather than relying on broad historical averages. 

What should OEMs monitor to understand service contract performance?

OEMs should monitor contract revenue, service costs, margin, and differences between expected and actual performance. Examining parts consumption, labor, travel, and service events helps explain why an agreement is outperforming or falling short. Looking beyond portfolio averages can reveal loss-making contracts and inform better pricing, renewal offers, and future contract structures. 

How does Service Contract Performance reduce reliance on spreadsheets?

Service Contract Performance provides dedicated workflows for service contract creation, pricing, and optimization, helping teams apply cost assumptions and pricing logic more consistently. Instead of rebuilding the analysis for every tailored request, teams can work from established models and parameters. This supports faster pricing decisions and more repeatable processes as contract volumes and offer complexity increase.
 

How is service contract performance different from service parts pricing?

Service parts pricing focuses on setting prices for individual spare parts. Service Contract Performance addresses the broader economics of a service agreement, including expected parts, labor, and travel costs, coverage decisions, contract pricing, and financial results. Parts costs and prices are important inputs, but the solution does not replace a dedicated service parts pricing platform. 
 

Is Service Contract Performance the same as contract lifecycle management?

No. Service Contract Performance focuses on cost prediction, pricing, and the financial performance of service agreements. Contract lifecycle management handles contract administration, such as signatures, agreement status, and contractual obligations. Service Contract Performance uses contract information to support commercial decisions, but it is not the system of record for whether contractual terms or usage conditions have been met. 

Does Service Contract Performance replace CPQ or field service management software?

No. Service Contract Performance provides contract prices that can be used by configure, price, and quote (CPQ) tools, rather than replacing their sales quoting functions. It also uses service-event data from field service systems to inform cost analysis, without handling scheduling or ticketing. Asset information contributes to service-cost predictions, but the solution does not replace asset lifecycle management software. 

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