Industry & manufacturing · artificial intelligence
Artificial intelligence for manufacturing: orders, invoices and technical support without manual entry
An agent reads orders arriving by email and PDF, posts them to the ERP, answers distributors about lead times and stock and provides technical support from your manuals.
1,240 h
saved per year in admin
99%
data extraction accuracy
−60%
time searching technical info
Order received by email · PDF
PO-20931 · 14 lines
Checked against price list and stock · no manual entry
Posted to the ERP
Built for businessEU-hosted data · GDPR compliant · EU AI Act ready · Audit trail of every agent action
Companies that trust us · 200+ projects
In brief
Artificial intelligence in manufacturing reads orders and invoices arriving by email and PDF, validates them against price list and delivery note and posts them to SAP, Odoo or Navision; it answers distributors about lead times and stock and provides technical support from your manuals. Manufacturers using it save 1,240 admin hours a year with 99% extraction accuracy. Pilot from €8,000 in 6–8 weeks.
The problem
Where your plant loses money today
What we find most often in our audits. Every item has a measurable cost.
The solution
What artificial intelligence does in your plant
Use cases for manufacturers, industrial distributors and workshops.
Agent at work
Automatic order entry
Extracts SKUs, quantities and terms from emails and PDFs, validates against the price list and creates the order in the ERP.
Reads, classifies and matches invoices with delivery notes and orders; leaves exceptions for human review.
Lead times, stock, order status and technical documents by email and WhatsApp, with ERP data.
Answers technicians and customers from manuals, datasheets and diagrams, citing the exact source.
Works with what you already use
- SAP Business One, Odoo, Navision
- Sage, A3, Holded
- Email and document management
- B2B portals and EDI
- Sales CRM
- PLM and technical documentation
Guide
AI in manufacturing: where it adds most value in an industrial company
In manufacturing, the AI with the highest return is not on the production line but in everything around it: orders arriving by email and PDF, supplier invoices, distributor questions about lead times and stock, and technical support that depends on manuals and the experience of two or three people.
An AI agent reads those orders and invoices, checks them against price list and delivery note and posts them to SAP, Odoo, Navision or another ERP. It answers distributors with real stock and lead-time data and provides technical support with your manuals and each machine’s history. Our industrial clients save 1,240 hours of admin a year with 99% data-extraction accuracy.
You start with one specific process, such as order entry, with an agreed KPI. The pilot connects to your ERP and is in production in 6–8 weeks; the rest is added when the numbers justify it.
Industrial processes with and without AI
| Criterion | With an AI agent | Today, by hand |
|---|---|---|
| Order entry | Read, validated and posted to the ERP | Typed in from the email or PDF |
| Supplier invoices | Matched against order and delivery note | Line-by-line review |
| Distributor enquiries | Instant answer with stock and lead times | Calls and emails to sales |
| Technical support | Answers from your manuals and history | Depends on a few people |
The agent in action
Reads, validates and posts. Without typing a single order.
An agent reads orders arriving by email and PDF, posts them to the ERP, answers distributors about lead times and stock and provides technical support from your manuals.
- Customer
- Ferro Distribution
- Ref. 40-2211
- 120 units · €18.40
- Ref. 40-2240
- 60 units · €32.10
- Delivery
- 18 Mar · Rubí
- Terms
- 60 days
- Email read and classifiedOutlook
- References validatedagainst current price listSAP B1
- Customer credit checkedSAP B1
- Order created45231SAP B1
- Confirmation sent to customerEmail
Client case
Batra Group · Industrial distribution
Automated orders and stock on a custom ERP
Order entry, stock control and customer support integrated in one system, with real-time visibility of the whole operation.
3×
order processing speed
−92%
stock errors
200 k€
estimated annual savings
Indicative pricing
What it costs and what you get at each stage.
Ranges from our artificial intelligence projects for industry & manufacturing. The free audit turns them into a fixed figure for your case.
- 01
30 minutes
Audit
Free
- We pick the process with the highest return
- We set the pilot KPI
- A fixed quote for your case
- 02
One-off payment · 6–8 weeks
Pilot
€8,000 – €14,000
- Agent designed and trained on your data
- Integrated with your systems
- Validated with your team until the KPI is met
- 03
No lock-in
Operation
from €400/month
- Models and infrastructure in the EU
- Monitoring and support
- Improvements and new capabilities every month
The monthly fee covers operation, models, monitoring and improvements. No lock-in.
Request a free auditIntegrations
Works where your team already does.
We integrate with common CRMs and ERPs (HubSpot, Salesforce, Odoo, SAP Business One, Holded…), WhatsApp Business, telephony, email and in-house databases. If there is no API, we build the connector.
Integrations: HubSpot, Salesforce, Odoo, SAP Business One, Holded, WhatsApp Business, Telephony, Microsoft 365, Google Workspace, Slack, Email, In-house databases.
FAQ
FAQ about artificial intelligence in manufacturing
Above 99% on structured fields. Anything below the confidence threshold goes to a human review queue before touching the ERP.
We integrate with SAP B1, Odoo, Navision/Business Central, Sage and others via API or connectors. For in-house ERPs we work against the database or services.
The knowledge agent respects role-based permissions: each user only gets answers from documents they can access. EU-hosted data.
An order-entry or invoice pilot typically runs €8,000–14,000 and is in production in 6–8 weeks, plus a monthly fee based on document volume.
No. The agent works on the ERP you already use (SAP, Odoo, Navision or another) through its API or database. Where there is no API we use exports or an intermediate layer, and confirm it in the audit.