Automated Customer Doc Review: SFDC Data Matching & Rev Rec Checklist Completion

Presented by

Nick Tiscornia, VP Finance & Operations, Klarity Intelligence

About this talk

Your deal documents are the only real source of truth for revenue reporting and cleaning up your SFDC data. With growth comes a proliferation of deal documents requiring review which puts pressure on your Order Management, Billing, and Revenue Recognition functions. Messy, inaccurate, and incomplete SFDC data is a common challenge to downstream financial reporting. Accounting, Billing, RevRec and Order Processing departments hire many FTEs to double-check system data against signed Order Forms, Purchase Orders, MSAs, and other docs. Learn how MongoDB, Coupa, DoorDash, Zoom and other companies use Klarity AI technology to review deal documents (MSAs, Order Forms, POs, SOWs, etc) to push accurate data to Salesforce, Netsuite, and their Revenue Recognition systems. Klarity’s AI technology allows you to quickly sort standard and non-standard contracts, and extract data from your customer docs to automatically complete your ASC 606/IFRS 15 Revenue Recognition Checklists. In this session, learn strategies how to: - Validate and update your SFDC and other reporting systems with information directly from your deal docs - Match data amongst your deal docs for confident billing, order processing and reporting - Auto-complete your ASC 606 Revenue Checklist and generate a rev rec audit trail

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Your deal documents are the only real source of truth for order management and revenue reporting. Klarity's AI-based software automatically reviews customer documents to extract data used for ASC 606 compliance and to validate CRM data so that accurate data goes into Billing and ERP systems. Companies like MongoDB, Coupa, and Zoom use Klarity to reduce the time spent reviewing order forms and deal docs for order management, billing, and revenue recognition by 87%.