Avenryx SystemsUse case
Stop re-typing orders that arrive by email
In most distributors, a small team spends its day reading orders and typing them into an ERP. It is expensive, error-prone, and limited to office hours.
Outcomes
- Handling time cut from minutes to seconds
- Fewer credit notes from entry errors
- Orders processed overnight
- Staff moved to exceptions and service
Use case
Where it is used
Email and PDF orders
Extracted, matched to products, validated against price and stock.
Customer part numbers
Their references mapped to your catalogue automatically.
Exceptions only
Unclear lines queued for a person; everything else posts.
What we deliver
- Document extraction
- Product and price matching
- Stock and credit validation
- Exception workflow
- ERP posting with audit
Problems this solves
Re-keying creates the errors
Automated intake with exception review removes the routine typing where wrong quantities and prices originate.
Orders sit unnoticed
A queue with ageing and a named owner makes stuck orders visible instead of buried in an inbox.
No traceability
Each order keeps its original document attached, which settles disputes quickly.
How delivery runs
- 01
Observe the current process
We watch the work as it is actually done, including the workarounds, before proposing anything.
- 02
Scope the first slice
One workflow, one team, one measurable target — chosen because it carries the most manual effort.
- 03
Build and pilot
Working software in a pilot group within weeks, running alongside the current process until the numbers agree.
- 04
Roll out and switch off
Migration, training and a dated switch-off of the old route, so two processes do not run forever.
Realistic timeline
Weeks 1–2
Order analysis and rules.
Weeks 3–7
Intake, validation and exception workbench.
Weeks 8–12
ERP write-back and volume ramp.
What moves the price
Format variety
Stable EDI is cheap; dozens of customer-specific PDFs means parsing work per layout.
Validation depth
Field checks are quick; credit limits and contract pricing reach into the ERP.
Throughput target
Near-real-time with retries and monitoring costs more than hourly batches.
Where projects go wrong
Automating the workaround
Rules are agreed with the people who handle today's exceptions, so we encode the correct process rather than the historic patch.
Adoption stalls
Rollout has named owners and measured usage per team; software nobody uses moves cost instead of removing it.
FAQ
Questions buyers ask
Our customers all send different formats.+
That is normal and manageable — the system learns per customer and improves as volume grows.
What if it gets one wrong?+
Anything below the confidence threshold never posts; it goes to the exception queue instead.
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