An AI agent now forecasts cash outflows from live SAP invoice data.

The client faced persistent gaps between forecasted and actual cash outflows. Finance teams relied on spreadsheets and manual validation to manage vendor payments, while unpredictable payment behaviour, frequent invoice mismatches and fragmented data made forecasts unreliable.

In an industry where cash flow affects shelf availability, supplier trust and consumer experience, inaccurate forecasting threatened the brand’s credibility and commercial agility, and made it hard for leadership to make fast, data-backed decisions.

An end-to-end AI agent on UiPath Agent Builder and AI Center that processes invoices and forecasts cash outflows, without overhauling existing systems:

• OCR extraction of unstructured invoice data, then dynamic 3-way matching within a ±5% tolerance; exceptions such as a missing PO go to a manager for approval
• Invoice-level SAP data feeds time series models that account for vendor behaviour, seasonality and trends; tailored prompts adjust the forecast as payment cycles shift
• Forecasts embedded in the weekly finance review, with hands-on enablement for the finance, treasury and AP teams
• A modular design, built to be reused beyond AP

What began as a tactical initiative became a model for scalable, embedded intelligence across the organization.

• Forecast variance reduced from 35% to 7%
• 85% of manual forecasting tasks eliminated
• 20+ hours saved every week across AP and Treasury
• Faster, more confident decisions, and stronger trust in the data used for planning and supplier negotiations
• A validated model for putting AI into operation across business units