Case Study

30% Reduction In Errors and 15× Faster Daily Reconciliations at a Supermarket Retail Chain

30% Reduction In Errors and 15× Faster Daily Reconciliations at a Supermarket Retail Chain

Pages 3 Pages

This case study describes how a large supermarket retail chain in the Caribbean—operating 68 stores with 6,700+ employees—used Valenta’s AI-powered intelligent automation to transform finance and treasury operations. Previously, teams spent up to eight hours daily manually reconciling general ledger data, cashier reports, and bank deposits across disconnected systems, resulting in delays and errors. By automating the existing process end-to-end with a digital assistant, reconciliations now run hands-off in just 32 minutes, delivering a 15× speed improvement, a 93% reduction in cash-clearing time, and a 30% reduction in errors. The solution saves 7,900 labor hours annually, improves audit readiness, and enables finance teams to focus on analysis and exceptions, with payback achieved in under three weeks.

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