We Built an Email-to-ERP Pipeline in 2 Weeks. Here's How.

February 1, 2026 • 8 min read • Case Study: Cross-Industry

The Problem: Orders Trapped in Inboxes

A regional distribution company receives 60-80 customer orders per day via email. Some arrive as PDF attachments. Some are typed directly into the email body. Some are Excel spreadsheets. A few are even faxes that get scanned and forwarded.

Every single one had to be manually read, interpreted, and typed into their ERP to create a sales order. Two full-time customer service reps spent their mornings doing nothing but data entry — opening emails, matching SKUs, entering quantities, confirming ship-to addresses, and double-checking pricing.

The work was tedious, error-prone, and the biggest bottleneck in their order-to-shipment cycle. Orders received at 8 AM weren't in the system until noon. That meant same-day shipping was nearly impossible for anything that arrived after 10 AM.

The Numbers

The 3.8% error rate doesn't sound catastrophic until you do the math: at 70 orders/day, that's roughly 13 wrong orders per week. Each one requires a correction, a phone call to the customer, and sometimes a return or re-shipment. The ops manager estimated that error correction consumed another 8-10 hours per week across the team.

The Architecture: How the Pipeline Works

We built a 4-stage pipeline using Aetheris Flow that handles the entire journey from email to ERP record:

The Build: Week by Week

We scoped this as a 2-week project. Here's how it actually played out:

By the end of week 2, the pipeline was processing orders autonomously. The team only needed to review flagged exceptions — roughly 15% of orders in the first week, dropping to under 8% by week 4 as the system learned new patterns.

The Results

The two CSRs who had been doing data entry were reassigned to proactive customer outreach — following up on quotes, handling escalations, and building relationships. The company's same-day shipping rate jumped from 60% to 92% because orders were in the system within minutes of receipt instead of hours.

"We went from dreading Monday mornings to not even thinking about order entry. The pipeline just works." — Operations Manager

What Made This Work in 2 Weeks

Speed wasn't luck — it was methodology. Three things made the tight timeline possible:

1. We started with real data, not specs. Instead of spending days documenting requirements, we collected 200 actual order emails on day one and built against reality.
2. We focused on the 80/20. The top 10 customer formats covered 75% of volume. We shipped a working pipeline for those first, then expanded coverage in week 2.
3. Shadow mode before go-live. Running the pipeline against live emails without injecting into the ERP let us catch edge cases with zero risk. By go-live day, we'd already processed 200+ real orders successfully.

Key Takeaways

• Email is the most underestimated automation target. If your team processes any kind of structured data from emails (orders, RFQs, status updates, invoices), that's a pipeline waiting to be built.
• You don't need to boil the ocean. Start with the highest-volume email type and expand from there. A 2-week project can deliver immediate ROI.
• Automation compounds. The direct time savings were 20+ hours/week. But the downstream impact — faster shipping, fewer errors, happier customers — was worth far more.