The control of invoices and the analysis of consumption are essential for Place des Énergies. Discover how Koncile OCR makes the processing of energy bills reliable and accelerates the processing of energy bills at Place des Énergies.
Discover how Koncile OCR helps Place des Énergies to automate the processing of its energy bills (electricity and gas). Automation that makes controls more reliable, improves the traceability of invoices and facilitates the monitoring of consumption.
About Place des Énergies
Specialist in energy supply and optimization, Place des Énergies assists its customers in managing their gas and electricity bills.
With volumes of several thousand invoices processed each month, the rigor and speed of analysis are essential to detect anomalies and ensure reliable monitoring of consumption.
Country
France
Sector
Energy & business services
Processed volume
Around 5,000 invoice pages per month
Use case
Automation of extraction and verification of energy invoices (electricity and gas)
The challenges of managing energy bills
Managing energy bills manually presents several difficulties:
Complexity and diversity of formats: electricity and gas bills from multiple suppliers.
High risk of human error in data entry and analysis.
Need for thorough checks: excessive consumption, inconsistencies in the indices, and billing errors.
Large volume of documents
Strategic challenge: guarantee correct billing and optimize customers' energy costs.
Faced with these constraints, automation is a solution to make control more reliable and save precious time.
Why did Place des Énergies choose Koncile
Place des Énergies was looking for a solution capable of structuring and automatically checking the energy bills.
Koncile was able to meet these needs thanks to its ability to:
Extract line-by-line details of electricity and gas bills,
Co-founder at Koncile – Turn any document into structured data with LLMs – tristan@koncile.ai
Tristan Thommen designs and deploys the core technologies that transform unstructured documents into actionable data. He combines AI, OCR, and business logic to make life easier for operational teams.
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