Manual order entry remains one of the most error-prone and time-consuming processes in operations. When a client sends an order (via email, PDF, form, etc.), staff must manually extract the details (e.g. product types, delivery info, quantities, pricing) and then retype them into internal systems like CRMs or ERPs.
This bottleneck leads to delays, errors, and missed SLAs. Even worse, small mistakes in product codes, addresses, or quantities can lead to shipping issues, unhappy clients, and expensive rework. Scaling operations becomes very difficult without hiring more admins or increasing QA overhead.
Our AI-powered automation streamlines every step of order intake and entry — while still giving humans full oversight and validation controls.
The AI monitors inboxes, shared folders, or portals for incoming orders — whether they arrive as PDFs, email bodies, scanned forms, or structured attachments.
Using intelligent document understanding, the AI extracts relevant data such as Product SKUs, Quantities, Delivery addresses, Client references, Deadlines or specific instructions
It also detects inconsistencies or missing values and flags them for review.
Users receive a pre-drafted entry with confidence scores. They can:
Every entry and correction are logged. You maintain full traceability and compliance — critical for regulated industries or enterprise-grade operations.
Teams using our Order Processing Automation achieve:
✓ 5x faster processing of incoming orders — reducing wait times and accelerating fulfilment
✓ 90% fewer data entry errors, thanks to AI-driven extraction and validation
✓ Higher customer satisfaction, with fewer delivery errors and proactive confirmations
✓ Fewer operational bottlenecks, even during high-volume periods
✓ Scalable workflows without needing to scale headcount linearly
From simple recurring orders to complex custom quotes, your ops team can now handle more — with less friction and more confidence.