Automated order entry | Enterprise Software House

Automated order entry

Manual order entry can be replaced by automated data processing, reducing errors and improving order fulfillment speed.

Turn piles of incoming orders into same-day processing

Every sales or operations team has faced that flood of incoming orders that arrives all at once. Email inboxes fill with PDFs, Excel files, and scanned forms. Someone has to open each one, copy data into the ERP, check quantities and prices, and hope no mistakes slip through.

It’s slow. It’s stressful. And it delays fulfillment.

With automated order entry, incoming orders are read, verified, and posted into your system without human retyping. That means orders start moving through your fulfillment process in minutes, not hours.

How it works?

  • AI reads orders from email attachments, PDFs, Excel sheets, and even scanned documents.
  • Checks part numbers, quantities, and pricing against your product catalog and contracts.

  • Creates the sales order directly in your system with zero manual typing.

  • If something doesn’t match, it’s routed to a human for review.

A day before automation

The clock hits 9:00 AM. The inbox already has 84 new customer orders. By lunchtime, half are still sitting in email threads waiting to be keyed into the ERP. At 3:00 PM, a mistake is spotted an order for 12 pallets was accidentally entered as 21. Someone calls the warehouse, but picking has already started.

The result? Lost time, wasted labor, and a costly return shipment.

A day after automation

Orders arrive. Within seconds, they’re read by the system, validated against your rules, and entered into the ERP. By 9:15 AM, 80% of the morning’s orders are already confirmed to customers. The warehouse starts picking immediately, and any quantity mismatches are flagged before anything leaves the shelf.

The result? People are free to focus on high-value customers.

Case scenario

A regional distributor processed about 450 orders per day manually.

With automation, they reduced entry time from 4 minutes per order to under 30 seconds.

That freed up the equivalent of 3 full-time staff, cut errors by 92%, and improved average delivery time by almost a day.

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