

Utility bills, energy bills and power bills arrive in different formats and create high manual review effort. Relevant figures must be transferred from PDFs and scans, matched with master data and compared across sites. This creates bottlenecks in cost analysis, power consumption analysis and energy controlling, while deviations often become visible too late.
Artificial intelligence handles document analysis for utility bills, energy bills and power bills and turns unstructured documents into usable data through invoice data extraction. On that basis, an AI system combines cost analysis, power consumption analysis and energy controlling across many sites. Anomaly detection identifies unusual consumption, cost deviations and incorrect allocations at an early stage. This creates a reliable basis for decisions in facility management, enabling prioritised reviews and targeted action.
Artificial intelligence automates invoice data extraction, document analysis and the reconciliation of utility bills and energy bills, removing a large share of manual review work. When hundreds of bills no longer need to be transferred and compared line by line in spreadsheets, internal processing costs and correction effort fall noticeably. Early anomaly detection also reduces unnecessary site inspections and focuses resources on genuinely critical locations.




















Zukunft beginnt, wenn menschliche Intelligenz künstliche Intelligenz entwickelt. Der erste Schritt ist nur ein Klick.
Zukunft beginnt, wenn menschliche Intelligenz künstliche Intelligenz entwickelt. Der erste Schritt ist nur ein Klick.