Revenue Analytics announced the general availability of Commercial Margin Intelligence (CMI), what is dubbed as the first commercial margin operating system purpose-built for industrial companies.
CMI is a continuously running, agentic AI platform built to help manufacturers, distributors, and industrial companies identify where margin is leaking across price, customer, product, cost, and sales behavior, explain why, and drive the specific commercial actions required to recover it.
“Industrial companies don’t have a visibility problem. They have an execution problem,” says Jared Wiesel, EVP of manufacturing and distribution at 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.”
Key takeaways:
· CMI’s agentic AI architecture monitors transaction-level commercial behavior, detects what is changing across the business, and surfaces where margin opportunity and risk are emerging in near real time.
· Revenue Analytics’ embedded commercial experts work alongside customer teams to convert findings into operational action and measurable financial impact, driving 100-300 basis points of margin expansion in typical engagements.
· For private equity operating teams, CMI creates a scalable way to drive commercial improvement systematically across portfolio companies, converting the value-creation playbook from a series of one-off engagements into a repeatable operating capability.
· CMI also helps companies reduce avoidable margin leakage by exposing where discounting behavior deviates from pricing strategy across reps, customers, and products; protect and grow profitable customers by identifying attrition risk early, surfacing economically justified retention actions, and uncovering share-of-wallet opportunities; improve product mix quality by identifying where profitable volume is eroding, where low-quality revenue is diluting margin, and where selective commercial investment produces disproportionate return; detect margin compression in near real time by surfacing products where costs have moved faster than price, customers priced below economic peers, and transaction-level pricing outliers with recoverable value attached; and drive field-level accountability by connecting margin outcomes directly to sales behaviors, commercial decisions, and execution patterns across the organization.
