Case Study: Loop AI eliminates manual billing and gains real-time revenue visibility with Zenskar

Loop AI saves 20+ hours per month with Zenskar

Loop AI, a SaaS delivery intelligence platform for restaurant franchises, faced significant challenges with its manual and complex billing process. Their revenue operations were complicated by a mix of fixed-fee subscriptions and a variable usage-based product, alongside intricate parent-child billing hierarchies for their franchise customers. This manual system required extensive effort each month from their lean finance team, prompting them to seek an automated solution with Zenskar.

By implementing Zenskar, Loop AI automated its entire invoicing, revenue recognition, and reporting workflow. The solution included a native BigQuery connector for usage data, flexible parent-child hierarchy modeling, and built-in SSP revenue recognition. This resulted in over 20 hours saved per month, a 30% reduction in invoice-related support queries, and the ability to generate financial reports in minutes instead of days, providing real-time revenue visibility.

Loop AI