RPA in Manufacturing Services
RPA in Manufacturing
Manufacturing operations generate high volumes of structured, repetitive administrative work, purchase orders raised from MRP outputs, production reports compiled from shop floor data, quality documentation assembled per batch, supplier invoices matched against delivery notes, and compliance records maintained across systems.
We build robotic process automation systems that handle these manufacturing back-office workflows automatically, procurement automation, production reporting, quality document management, and ERP data entry, so your operations team focuses on production, not paperwork.
Purchase order and procurement automation triggered by MRP and inventory signals
Production reporting automation from shop floor systems to ERP and management dashboards
Quality and compliance document management automated end to end
Supplier invoice matching and AP processing without manual data entry
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
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The brief
Start with what is not working.
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Operations team raising purchase orders manually from MRP reports that could trigger them automatically?
Quality documentation compiled by hand each batch when the data already exists in your systems?
Plain answer
RaftLabs builds robotic process automation for manufacturing back offices: purchase order creation from MRP signals, production reporting from shop floor to ERP, quality and compliance document generation, and three-way supplier invoice matching. A first automation covers one process; scope grows from one process to a multi-process programme over time.
What to remember
- Start with one process, then expand the programme one process at a time from there.
- Scope grows with the work: one process, then a multi-process programme across procurement, production reporting, and AP.
- Purchase order automation targets high straight-through processing on clean MRP demand signals; exceptions route to purchasing.
- Quality batch records assemble without manual compilation; full traceability packs generate on demand.
- Automation supports ISO 9001, IATF 16949, GMP, and 21 CFR Part 11 with complete audit trails.
Manufacturing admin is costing you more than you think
Every hour your operations team spends raising purchase orders manually is an hour they're not on the floor. Every batch record compiled by hand is a compliance risk and a delay. Every supplier invoice matched manually has a cost per transaction that compounds across the volume.
Manufacturing RPA doesn't change what your systems produce, it automates the work of moving that data between them, so your team focuses on production, quality, and continuous improvement rather than data entry.
In Deloitte's Global RPA Survey, 53% of organizations had already started deploying RPA, a share Deloitte projected would move toward near-universal adoption within a few years. Manufacturing back offices are a natural fit. The work is high volume, rule based, and already sitting in ERP and manufacturing execution system (MES) platforms. For most operations teams the entry point is procurement and production reporting, where the manual effort of moving that data is both visible and measurable.
Proof
- shipping production automation and data-integration systems across logistics, retail, and operations
- Since 2015
- RaftLabs delivery record
- scope and price agreed in writing before development starts
- Fixed cost
- Every RaftLabs engagement
Capabilities
Manufacturing processes we automate
Procurement and purchase order automation
Automated PO creation triggered by MRP demand signals, reorder points, and blanket order releases. The bot validates each order against supplier master data, routes it for approval with SLA-based escalation, and posts goods receipts on delivery, targeting high straight-through processing on clean demand signals.
Built with: MRP · SAP · Dynamics 365 · EDI 850
Production reporting
Automated assembly of production reports, daily summaries, OEE, yield, first-pass quality, and shift handover, replacing the daily task of pulling data from several systems by hand. Confirmations post back to the ERP without manual entry, and reports are scheduled to land with the shift handover.
Built with: MES · SCADA · PLCs · REST APIs · SharePoint
Quality documentation management
Automated generation of batch records, certificates of analysis, inspection reports, and non-conformance records, populated from your source systems without manual transcription. Built for ISO 9001, IATF 16949, GMP, and 21 CFR Part 11, with electronic signature and audit trail controls.
Built with: MES · LIMS · QMS · ISO 9001 · 21 CFR Part 11
Supplier invoice processing
Automated three-way matching of supplier invoices against purchase orders and goods receipts, replacing manual keying for high invoice volumes. Exact matches post directly to the ERP, price and quantity exceptions route to the right team with the discrepancy highlighted, and straight-through processing stays the target.
Built with: Azure Document Intelligence · ERP
Inventory and stock management
Automated inventory monitoring, reorder triggering, and stock record maintenance across your ERP and warehouse systems, raising replenishment requests without a planner checking each item. Cycle count reconciliation posts acceptable variances and flags the rest, alongside weekly slow-moving, excess, and shelf-life reporting and a supplier scorecard.
Built with: SAP · Dynamics · WMS
Compliance and regulatory reporting
Automated assembly of regulatory submissions, traceability records, and audit-ready documentation from your production and quality systems. Given a lot number, the bot builds a full forward and backward traceability pack on demand, and prepares PPAP packs, Certificates of Conformance, and ISO 9001 or IATF 16949 audits ahead of time.
Built with: ERP · QMS · LIMS · PPAP · ISO 9001
Deterministic bots or intelligent document processing?
Not every manufacturing document is structured. A goods receipt posted against a known PO is deterministic: fixed fields, fixed rules, one correct outcome. A supplier invoice, an inbound certificate of analysis, or a handwritten shop-floor note is not. The layout changes by vendor, fields move, and a rules-only bot breaks the moment the format shifts.
We scope each workflow to the cheaper mechanism that will hold. Deterministic bots run the structured, high-volume core. Intelligent document processing (IDP) reads the variable documents, extracts the fields, and hands a confidence-scored result to the same downstream rules. Low-confidence extractions route to a person instead of posting a wrong number.
How we choose the mechanism
| Deterministic bot | Intelligent document processing | |
|---|---|---|
| Input | Structured, fixed-layout data (MRP output, PO fields, ERP screens) | Variable documents (supplier invoices, CoAs, delivery notes, scanned forms) |
| How it reads | Fixed field maps and business rules | Model-based extraction with a confidence score per field |
| Failure mode | Breaks when the layout changes | Flags low-confidence fields for review rather than posting a wrong value |
| Best for | Goods receipts, production order updates, reorder triggers | AP invoice capture, incoming quality documents, non-standard supplier paperwork |
Where manufacturing automation is heading: the brittle screen-scraping bots of the last decade are giving way to model-assisted pipelines that read documents, reconcile exceptions, and escalate with context. We build for that path now, keeping the deterministic core auditable while IDP absorbs the variability that used to force manual keying.
What drives the cost
We scope every project before pricing it. These are the factors that move a manufacturing automation build up or down the range.
- Number of processes
- One workflow (PO creation from MRP output) is an entry-tier build. Procurement, production reporting, and AP together is a multi-process programme.
- ERP and MES integration
- API-first ERPs (SAP S/4HANA, Dynamics 365) are cleaner than UI automation over legacy screens or file-based MES interfaces. The integration surface is usually the biggest cost driver.
- Document variability
- Structured, single-format inputs stay deterministic and cheap. Multi-vendor invoices and non-standard quality documents add IDP, review queues, and confidence tuning.
- Compliance regime
- ISO 9001 or IATF 16949 audit trails are baseline. GMP and 21 CFR Part 11 electronic-signature and validation requirements add documentation and test evidence.
- Exception handling
- Routing, escalation SLAs, and the review interfaces for the 10-30% of cases that do not go straight through are real scope, not an afterthought.
What clients say
What our clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
All of the sprints were completed on schedule and on budget. We highly recommend RaftLabs!
Charles E.
Entrepreneur at Aggie Technologies
The closest proof we can show is adjacent, not manufacturing: high-volume document extraction, validation, and system sync built for operators with the same back-office pattern.
Proof
Adjacent automation work
- 01
AI OCR for gas station operations
- 02
AI OCR validation platform for a supermarket chain
- 03
Hospitality businesses cut inbound call costs by 60-95% with Call Eva
Call Eva answers every call 24/7 with natural-sounding conversation. Restaurants and hospitality businesses using it report 60-95% lower support call costs in the first month.- lower inbound call costs for hospitality teams
- 80%
- voice AI call coverage with no extra staffing
- 24/7
- faster inbound call resolution
- 2x
The first decision is not what to build.
It is whether software is the right answer at all. We use four possible recommendations before discussing a development scope.
- 01
Buy
Use the ERP's own automation or a maintained RPA platform when the workflow is standard.
- 02
Repair
Keep the manual process when volumes are low and the data entry cost stays below the automation cost. Start with evidence: the cost per transaction.
- 03
Build
Own the bots when the workflows are specific to your operation and the rules hold. Start with the measurable workflow: procurement or production reporting.
- 04
Wait
Do not automate a process that is still changing. Bots encode the current process, flaws included.
Not sure which path is yours? Bring it to a 30-minute call. Leave with the answer in writing.
What it costs
Every project starts at $10000.
The first phase automates one measurable workflow, procurement or production reporting, with deterministic bots where the rules hold.
Starting investment
Starts at $10000
Scoped per workflow, with the cheaper mechanism chosen before build. After a 30-minute call, you get a written build, buy, repair, or wait recommendation plus first-phase direction. Free, whether or not you build with us.
Work with us
Tell us which manufacturing process costs your team the most admin time.
Process, current systems, and volume. We'll design the automation and give you a fixed cost.
- Scope and cost agreed before work starts. No surprises. No obligation.
- Working prototype within 3 weeks of kickoff.
- Pay by milestone. You see progress before each invoice.
- 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
- All conversations are NDA-protected.
Common questions
The best manufacturing automation targets are high volume, rule-based, and involve moving data between systems, typically between shop floor systems, ERP, and back-office tools. Top processes: purchase order creation from MRP demand signals (bot reads the MRP output and raises POs in the ERP), goods receipt processing (bot matches delivery notes to POs and posts goods receipts), production order updates (bot reads shift reports and updates production order completions), quality record creation (bot generates batch records and certificates from production data), supplier invoice matching (bot extracts invoice data and matches against POs and goods receipts), and production management reporting (bot assembles daily/weekly reports from multiple systems).
We integrate with ERP systems via API where available or UI automation where not. Common manufacturing ERP integrations: SAP S/4HANA and SAP ECC (PP, MM, QM modules), Oracle Manufacturing Cloud, Microsoft Dynamics 365 Supply Chain Management, Infor, Epicor, and SYSPRO. For MES and shop floor systems, we integrate via database, API, or file-based interfaces depending on what the system exposes. The integration approach is determined during scoping based on your specific ERP version, module configuration, and available interfaces.
RPA handles the rule-based, structured portion of manufacturing workflows. The automation handles the straight-through cases, the POs that match the MRP signal exactly, the invoices that have a matching PO and goods receipt, the production orders that complete on time with expected yield. Exceptions are flagged and routed to the relevant team member with the context needed to resolve them. A well-designed manufacturing RPA system targets high straight-through processing, with exceptions handled by the appropriate function, purchasing, operations, or finance, not by whoever notices the issue first.
Quality management in manufacturing requires complete, traceable documentation, batch records, certificates of analysis, non-conformance records, and CAPA documentation. RPA automates the creation and population of these documents from production data, ensuring every batch has complete documentation without relying on manual compilation. The audit trail from the automation process is itself a compliance asset, every document creation event is logged with timestamp and source data. For ISO 9001, IATF 16949, GMP, and similar standards, automated documentation reduces the risk of missing or incomplete records.
The anchor governance question. Every bot needs versioning, secrets management, and an incident-response playbook with a plan for the next thirty minutes. Audit trail matters the day auditors come calling. Bots break when source systems change. SLAs for break-fix matter as much as build cost. Design for all scenarios, handle sudden failures gracefully, recover and restart from a known state. A 99 percent automated process with one manual step in the middle is still pretty useless.
The pragmatic split. Getting rid of software that holds your data hostage can take an order of magnitude more money and time than RPA, which ships in a reasonable timeframe. RPA is bridging technology: it makes the future API state real for non-technical stakeholders. But it works on processes already simplified, standardized, and stable; automating a messy process gets faster and more expensive to fix later. Map the workflow, strip redundant approvals, agree on a single source of truth, then hand the cleaned-up task to a bot.
No, rather extended. The current pattern is hybrid: deterministic workflow steps coupled with generative-AI steps for interpretive work like reading contracts. The credibility hurdle is cleared by piloting properly scoped work: run discovery, then a multi-step pilot; skip discovery and the pilot overruns.
A focused manufacturing automation system automates one process (e.g., purchase order creation from MRP output), including bot development, testing in your environment, and deployment. Multi-process programmes cover procurement, production reporting, and AP processing. Cost depends on the number of processes, ERP and MES integration complexity, and quality compliance requirements. We scope every project before pricing it.