An MRO distributor (Maintenance, Repair and Operations) handles hundreds of delivery notes every day with dozens of line items each: bearings, screws, pneumatic fittings, electronic boards, tools, consumables. Long supplier codes, lot numbers, serial numbers, mixed units of measure.
The result is almost always the same: the goods receiving office becomes a bottleneck, manual ERP entry is slow, errors propagate all the way to the invoice, and customers call to ask about the status of an order the system hasn't even registered yet. In this guide we look at how AI-based delivery note automation software solves the problem structurally - and what to evaluate before choosing one.
What is an MRO distributor and why delivery notes are the real bottleneck
MRO distributors are companies that sell maintenance, repair and operations materials: mechanical spare parts, electrical components, technical hardware, tooling, safety products, lubricants, workwear. They are the link connecting hundreds of manufacturers to thousands of end customers, from mechanical workshops to process plants.
The structural characteristic of an MRO distributor is fragmentation:
- Catalogs with tens or hundreds of thousands of SKUs - impossible to manage from memory
- Hundreds of active suppliers, each with their own nomenclature and delivery note format
- Spare parts with long codes, minor variants and technical descriptions where one wrong character means the wrong item gets shipped
- Lot numbers, serial numbers and expiry dates required for traceability and warranty
In this context, the delivery note is not an administrative document: it is the source of truth of the process. If the delivery note doesn't get into the system right away, the warehouse doesn't know what it has received, the sales team doesn't know what to promise to customers, and finance doesn't know what to invoice. To understand how much weight the delivery note really carries in a B2B flow, you can explore the role of digital delivery notes in the supply chain.
For an MRO distributor the delivery note is not a closing document: it is the document that opens stock availability for sale. Every hour of delay in entry is an hour of lost revenue.
The 4 problems of delivery note data entry in the MRO world
Before choosing a software, it's worth focusing on why delivery note data entry in an MRO distributor is structurally more complex than in other sectors.
1. Volumes: many lines, many documents, every day
A mid-sized MRO distributor easily receives 50-200 delivery notes per day from Italian and foreign suppliers, with an average of 10-30 lines per document. That means thousands of lines to type every day. Even an experienced operator, at 30-40 seconds per line, spends most of the day just copying codes.
2. Matching between supplier code and internal code
The same SKF bearing may appear on the delivery note as "6205-2RS1/C3", in the ERP as "BEAR.6205.2RS" and in the customer request as "6205 SKF". The automation software must be able to perform adaptive matching between the document description and the item master, handling variants, abbreviations and technical suffixes.
3. Lots, serial numbers, certificates of conformity
For many MRO items (components for certified plants, ATEX materials, food-grade or pharmaceutical products) the delivery note carries lot, serial number and sometimes a reference to the certificate of conformity. These are critical data points that must enter the system without errors, because they become part of the traceability towards the end customer.
4. Heterogeneous channels and formats
Delivery notes arrive by email as PDFs, attached to supplier portals, as scans of paper documents, as A4 sheets folded inside the box. Good delivery note automation software must intercept all these channels and normalize them into a single digital flow.
How AI delivery note automation software works
Modern delivery note automation software, like TypeLens for delivery notes, works in four essential phases:
Between step 3 and step 4 there is the human validation phase: the operator sees a screen with the original delivery note on the left and the extracted data on the right, confirms with a click or corrects the low-confidence lines. It's a human-in-the-loop approach that combines machine speed with human control where it matters.
Traditional OCR vs AI: what changes for an MRO distributor
Many MRO distributors have already tried classic OCR and walked away disappointed. The reason is simple: traditional OCR requires a template for every supplier, and in a company with 300 active suppliers that means 300 configurations to maintain - plus all the ones that break at the first layout change.
| Feature | Traditional OCR | AI Software (TypeLens) |
|---|---|---|
| New supplier | New template to configure (hours or days) | Zero setup, works out of the box |
| Delivery note layout change | Template breaks, cascading errors | Adapts automatically |
| Supplier code matching | Text extraction only, no matching | Master-data matching with confidence score |
| Lots and serial numbers | Extracted only if in the template-defined field | Recognized even in different positions |
| Maintenance | Continuous, every change requires intervention | Minimal, the model learns from feedback |
We dig deeper into the differences between the two technologies and the achievable accuracy levels in this OCR accuracy guide.
ROI and real-world time savings
Numbers vary based on volumes, delivery note complexity and the ERP in use, but the trajectory is consistent. In a mid-sized MRO distributor - typically receiving several dozen to a few hundred delivery notes per day with a substantial number of lines per document - manual data entry easily takes up several hours per day of dedicated work.
AI automation typically reduces this time by 70-90%:
- Operational time savings: the bulk of the data entry disappears, leaving only a residual share of validation on low-confidence lines
- Reduced loading errors: from the typical few percentage points of manual data entry down to fractions of a percent
- Stock availability time: from "tomorrow morning" to a few hours after delivery note arrival
- Reduced customer calls asking "did my part arrive?", because the system answers on its own
On an annual basis, the impact is on the order of one full-time resource freed up (in whole or in part, depending on volumes), who can be reassigned to data quality control, supplier management or customer service - value-added activities. It's a mechanism similar to the one described in the AI delivery note automation case study.
The realistic goal is not to eliminate human intervention: it's to shift it from typing to supervision. The operator stops copying and starts checking.
Integration with the ERPs most used by MRO distributors
Most MRO distributors use an ERP system to manage master data, inventory, orders and invoicing. Good delivery note automation software must integrate natively, without requiring manual export/import. TypeLens has dedicated connectors for the main systems:
- Microsoft Dynamics 365 (Business Central, Supply Chain Management) - for structured organizations that use the full Microsoft stack
- Sage X3 and Sage 100 - common in multi-branch or internationally present distributors, with support for the Inventory and Purchase modules
- Odoo - widely adopted by tech-forward SMEs, with direct integration on the Inventory and Purchase modules
- Zucchetti Ad Hoc / Mago - popular among Italian mid-sized distributors, integrated via API for goods receipt and inbound movements
- Custom API for proprietary or in-house ERP systems
Field mapping (delivery note header, lines, item code, lot, UoM, price) is configured once during onboarding for the specific customer instance and does not require ongoing maintenance.
When it makes sense to adopt delivery note automation software
Not all companies are at the same point. For an MRO distributor the evaluation is reasonable when at least two or three of the following conditions occur:
- More than 30 incoming delivery notes per day, even just in some peak weeks
- At least one internal resource mainly dedicated to goods receipt entry
- History of loading errors that have generated wrong shipments or disputes
- Need to track lots, serials and certificates for contractual or regulatory obligations
- Growing volumes and inability to scale the back-office team at the same pace
- Customers asking for real-time visibility on incoming goods
If you recognize yourself in at least three of these points, delivery note automation is no longer an efficiency project: it is a prerequisite to stay competitive. For a broader introduction to document digitalization, you can read our complete guide on OCR and AI document processing.
Stop typing. Let delivery notes load themselves.
In 30 minutes we look together at a real delivery note from your warehouse and show you TypeLens in action. No slides, just a live demo on your document flow.
Book a demo →