sales_ops · healthcare · workflow

Fortune 100 Global Manufacturer Unifies Revenue Orchestration with Clari AI

A Fortune 100 global manufacturer's legacy revenue management tools caused operational inefficiencies, inaccurate forecasting, and high costs. Salesforce Rev Intel and CRM Analytics required up to two full-time headcount for maintenance and exceeded $500K in annual licensing. Manual forecast inputs from reps were error-prone, siloed systems made pipeline reporting a heavy lift, and the CMD division required six analysts working five hours each to compile monthly reports.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Data source unification
Salesforce, ERP, and Data Mart are unified into a single source of truth, eliminating silos and elevating data consistency across the business.
Tools used
ClariSalesforce Revenue IntelligenceCRM Analytics
Outcome

After deploying Clari, the manufacturer achieved 96% time savings and 67% reduction in headcount needed. Monthly reporting was compressed from six analysts to two in 30 minutes, and the renewal rate rose from 65% to 85% — up 20 points in the last seven months. Reporting time was reduced by over 90%.

What failed first

Salesforce Revenue Intelligence (Rev Intel) and CRM Analytics (CRMa) were shut down or wound down due to excessive maintenance burden and licensing costs adding up to half a million dollars.

Results
Time saved96%
Volume67%
Cost replacedexceeded $500K annually
Source

https://www.clari.com/resources/customer-stories/how-a-global-manufacturer-used-ai-to-unify-revenue-orchestration/

How we source this →

Grounding & classification
Source type: vendor customer story
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forecastingpredictive analyticsemailfailure mode describedmetric backedproduction runtime claimedtools describedvendor confirmedworkflow describedmanufacturingpharma life sciencesaccuracy improvementcost reductioncycle time reductionemployee productivityrevenue increasetime savedvendor customer storyfinance opssales opsai draft human approvaldata sync enrichment