Case Study: GoTo achieves complete global cash visibility and saves 7+ hours/week with Trovata

Achieve a Greater Focus on Strategic Analysis By Reducing Cash Processing Times

GoTo, a global software company (formerly LogMeIn) serving more than 2.5 million customers, struggled with slow, manual cash reporting and forecasting as its banking footprint grew. Reconciling transactions required logging into many bank portals, manual consolidation, and lengthy quality assurance, which limited actionable analysis. To address this, GoTo turned to Trovata and its multi-bank automated cash management platform, including a Multi-Bank Data Lake™ and natural language search.

Trovata automated aggregation of GoTo’s bank data, applied machine learning for automated cash reporting and forecasting, and provided instant natural-language transaction search and tagging. As a result, Trovata gave GoTo complete cash visibility across 50+ global bank accounts, saved the treasury team more than 7 hours per week, and enabled faster, more reliable analysis and support responses.

GoTo

Tim DiLillo

Director of Treasury