Revenue Analytics has announced the general availability of Commercial Margin Intelligence (CMI), an AI-powered Commercial Margin Operating System designed specifically for industrial companies. The platform leverages agentic AI to continuously monitor commercial performance, identify margin leakage, and recommend actions that help manufacturers, distributors, and private equity-backed businesses improve profitability.
Built to address the complexities of industrial operations, CMI provides organizations with a centralized commercial management layer that works alongside existing ERP and CRM systems to uncover margin risks and opportunities across pricing, customers, products, costs, and sales activities.
Industrial companies often manage profitability through spreadsheets, periodic pricing reviews, and disconnected reporting systems, making it difficult to identify and address margin erosion before it impacts financial performance. Revenue Analytics developed CMI to provide continuous visibility into commercial activities and enable organizations to take action in near real time.
Unlike traditional business intelligence tools and pricing applications that primarily focus on reporting, CMI actively monitors transaction-level commercial behavior and identifies emerging risks and opportunities across the organization.
“Industrial companies don’t have a visibility problem. They have an execution problem,” said Jared Wiesel, EVP of Manufacturing & Distribution, Revenue Analytics.
“Margin leakage hides across thousands of daily decisions spanning price, customer mix, product mix, cost movement, and sales behavior. CMI gives companies a system that continuously surfaces those issues and drives the right commercial action into the field. For many organizations, it changes margin improvement from a reactive project into an operational capability.”
Revenue Analytics designed CMI specifically for the realities of industrial organizations, which often manage thousands of products, decentralized pricing structures, fluctuating costs, and complex customer relationships.
The platform focuses on five critical drivers of profitability:
CMI helps identify instances where discounting practices diverge from pricing strategies, enabling organizations to reduce avoidable margin leakage and improve pricing consistency across customers, products, and sales teams.
The platform detects customer attrition risks and identifies opportunities to increase share of wallet through targeted retention and growth strategies.
Organizations can gain visibility into product-level profitability trends, helping them identify low-margin revenue streams and prioritize investments that generate stronger returns.
CMI continuously monitors cost movements and pricing performance to uncover products and customer segments where margins are being compressed, enabling faster corrective action.
The platform connects profitability outcomes directly to sales behaviors and commercial decisions, providing greater visibility into execution across teams and regions.
Revenue Analytics also positions CMI as a strategic tool for private equity firms seeking scalable commercial improvement across portfolio companies. Rather than relying on isolated consulting engagements, operating teams can use the platform to implement repeatable processes that continuously identify and capture margin improvement opportunities.
The company describes CMI as an evolving commercial intelligence platform that will continue to expand with additional AI agents, workflows, and operational capabilities as customer requirements mature.
“The era of managing commercial margin through quarterly reviews, spreadsheet analysis, and episodic consulting projects is ending,” said Jared Wiesel, EVP of Manufacturing & Distribution, Revenue Analytics.
“Industrial companies need systems that detect, prioritize, and operationalize margin improvement as the business changes in real time.”
According to Revenue Analytics, early deployments of CMI uncovered previously unidentified margin exposure related to pricing execution, customer behavior, cost recovery, and sales decision-making within weeks of implementation.
Organizations participating in the early access program reported that the platform provided greater operational value than traditional pricing software, business intelligence dashboards, and consulting-led margin improvement initiatives because of its ability to operationalize recommendations and drive measurable action.
Several early adopters have already reported financial improvements during the initial weeks of deployment, supported by Revenue Analytics' commercial experts who help organizations translate insights into execution.
As industrial companies continue seeking ways to improve profitability amid economic uncertainty and increasing operational complexity, Revenue Analytics believes agentic AI-powered platforms such as CMI will play a growing role in helping organizations move from reactive analysis to continuous commercial margin management.
About Revenue Analytics
Revenue Analytics transforms complex data into a competitive advantage. As a leader in AI-powered revenue and margin optimization, its innovative solutions help businesses boost profits and drive sales performance through actionable insights and predictive analytics. Revenue Analytics empowers smarter pricing decisions that drive bigger profits. Learn more at www.revenueanalytics.com.
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