Order Backlogs Don't Scale. Automation Does.

Manual order entry was creating delays and errors as volume grew. OnTrac built an automation workflow that handles intake, validation, and system updates without adding headcount.

The Challenge

A leading industrial manufacturer received orders through emails, spreadsheets, and customer portals, each requiring someone to open the file, pull the relevant details, and key them into internal systems by hand. As order volume increased, the team fell behind. Backlogs formed. Downstream teams waited. The problem wasn't the team's capacity to do the work; it was that the work itself wasn't designed to scale. Every new order added to a process that was already at its limit. 

What OnTrac Built

OnTrac designed an order intake automation that captures, validates, and routes incoming orders without manual data entry, integrating into existing systems rather than replacing them. 

• Captures order data from incoming emails and file attachments as they arrive 

• Extracts key order details using predefined rules configured to the client's data structure 

• Validates entries against business logic before creating or updating records in internal systems 

• Flags exceptions that fall outside defined parameters for human review 

• Maintains a processing log for full transparency into what was handled automatically and what required escalation 

Why is order processing one of the highest-value targets for automation in manufacturing?

Order intake is typically one of the highest-volume administrative workflows in a manufacturing operation. It's also one of the most error-prone, because the work is repetitive, deadline-driven, and dependent on individual judgment for edge cases. Automation at the intake layer delivers speed and accuracy gains quickly and creates headroom for operations teams to focus on work that actually requires human decision-making.