Automate order processing and procurement by letting an AI employee read, validate, and enter document data directly into your ERP system.

For manufacturing professionals, manual data entry from sales orders, invoices, and bills of material is a major source of inefficiency and errors. Traditional OCR tools often fail because they are template-based and can't handle variations, requiring significant manual correction and separate RPA tools for workflow. Walter solves this by acting as a dedicated AI employee for your paperwork. It uses a purpose-built Large Language Model (LLM) that understands document context, not just text location. This allows it to achieve over 90% accuracy after seeing just 10 sample documents, without rigid templates. Its key advantage is the native ERP cross-validation; it doesn't just extract data, it checks it against your product catalog or supplier lists in real-time. The results are tangible: reducing order processing time from 15 minutes to one minute and saving entire teams over 60 hours per week on procurement analysis. This compounding learning system gets progressively better, directly integrating into your core operations instead of being a bolt-on solution.