The best first automations for manufacturing companies
Five Use Cases. One Entry Point.
| Use Case | Area | What the bot does | Typical result |
| Invoice processing | Financial accounting | Scan invoices, extract data, match against purchase orders, post in SAP | 70% faster processing |
| Inventory management | Warehouse / Logistics | Monitor stock levels, trigger reorders, update safety stock | 40h/week time saved |
| Procurement | Purchasing | Onboard suppliers, check purchase requisitions, perform 3-way matching | 4-12% cost reduction |
| BOM maintenance | Production / Engineering | Synchronise BOM data across systems, propagate changes | 800h/year time saved |
| Production orders in SAP | Production / Controlling | Close completed orders automatically, maintain status updates in SAP | Immediate capacity release |
1. Invoice processing
Invoice processing is the classic entry point into RPA for manufacturing companies. The bot receives incoming invoices by email or scan, extracts header and line-item data using OCR and intelligent parsing, automatically matches them against purchase orders and goods receipts, and posts them in SAP FI. In the event of discrepancies, the responsible clerk is notified. UiPath benchmarks show a 70 per cent time reduction: 30 seconds instead of five minutes per invoice. The advantage: no process change is needed, because the bot replicates the manual workflow exactly. The error rate falls, because typos and transposed digits are eliminated.
2. Inventory management
In the warehouse, RPA ensures that safety stock is continuously monitored and reorders are triggered automatically when levels fall below the threshold. The bot reads stock data from SAP MM or WM, compares it against defined reorder points, and creates purchase requisitions when thresholds are undercut. According to Appinventiv, the manual work involved in safety stock can be eliminated entirely, with savings of around 40 hours per week. The automation pays off quickly in companies with multiple warehouse sites in particular, because the bot works identically across locations. Warehouse teams can focus on value-adding activities such as inventory optimisation and layout planning.
3. Procurement and supplier management
In purchasing, RPA automates recurring tasks such as onboarding new suppliers, checking purchase requisitions, and so-called 3-way matching: reconciling purchase order, goods receipt and invoice. UiPath offers a dedicated accelerator for this. Deloitte puts the savings potential on procurement volume at 4 to 12 per cent, mainly through fewer duplicate orders, faster approval cycles and consistent supplier evaluations. However, this use case is organisationally more demanding: approval levels must be clearly defined, and purchasing must be willing to delegate parts of its existing control routines to the bot. We therefore recommend tackling procurement RPA only after initial successes with simpler use cases.
4. BOM maintenance
Bills of materials (BOMs) change frequently in manufacturing, but updating them across multiple systems (SAP PP, PLM systems, engineering databases) is laborious and error-prone. An RPA bot synchronises BOM changes automatically between the source systems, propagates revisions and documents every change without gaps. Itransition reports 800 hours saved per year in a comparable scenario. The technical challenge lies in the heterogeneity of the source systems: depending on the system landscape, the bot has to work via APIs, SAP transactions and occasionally CSV exports as well. Organisational resistance is low, because the synchronisation is purely technical and requires no behavioural change from staff.
5. Production orders in SAP
In many plants, completed production orders remain open in SAP because no one finds the time to close them systematically. This leads to cluttered order backlogs and makes capacity planning harder. An RPA bot regularly checks the status of open orders, identifies completed ones against defined criteria, and closes them automatically in SAP PP/CO. VSoft describes this use case as particularly rewarding, because no process change is needed: the bot does only what a clerk would have to do anyway but cannot manage for lack of time. The benefit is rather indirect (order, compliance, a clean reporting basis), but combined with other RPA bots it produces a noticeable gain in quality.
Implementation effort compared
| Use Case | Complexity | Duration | SAP integration | Prerequisites | Team |
| Invoice processing | Low | 4-6 weeks | Standard (FI/MM) | Digital invoices, defined approval workflow | 2-3 people |
| Inventory management | Medium | 6-8 weeks | Medium (MM/WM) | Defined reorder points, clear reordering rules | 2-3 people |
| Procurement | Medium-High | 8-12 weeks | Complex (MM/FI) | Supplier master data maintained, clear approval levels | 3-4 people |
| BOM maintenance | Medium | 6-10 weeks | Medium (PP/PLM) | Structured BOM data, defined change processes | 2-3 people |
| Production orders | Low-Medium | 4-6 weeks | Standard (PP/CO) | Clear completion criteria, defined status transitions | 2 people |
The five use cases differ markedly in implementation effort. Invoice processing and production orders are the simplest entry points: they use standard SAP transactions, need small teams of two to three people, and are productive in four to six weeks. Inventory management and BOM maintenance sit in the middle. Both require clean master data and clear rule sets, but can be implemented with manageable effort in six to ten weeks. Procurement automation is the most complex use case: it touches several SAP modules (MM and FI), requires defined approval levels, and a larger team of three to four people. In return, the savings potential, at 4 to 12 per cent of procurement volume, is also the highest. As a rule: clean master data and clear process definitions are the most important prerequisites for any RPA implementation.
Risk assessment compared
| Use Case | Technical risk | Organisational risk | ROI certainty | Scalability |
| Invoice processing | Low: rule-based, proven OCR/AI | Low: no process change required | Very high: measurable immediately | High: transferable to all sites |
| Inventory management | Medium: depends on data quality | Low-Medium: warehouse must build trust | High: time savings immediately visible | High: scalable per warehouse site |
| Procurement | Medium-High: many exceptions possible | Medium: purchasing must adapt approvals | Medium-High: savings only after optimisation | Medium: depends on supplier structure |
| BOM maintenance | Medium: heterogeneous source systems | Low: purely technical synchronisation | High: clear hours saved | Medium: depends on system landscape |
| Production orders | Low: simple SAP transaction | Low: no behavioural change required | Medium: value rather indirect (order, compliance) | High: transferable to all plants |
The risk profile of the five use cases mirrors the implementation effort. Invoice processing is the lowest-risk entry point: rule-based logic, proven OCR technology, no change management and immediately measurable ROI. Production orders are similarly low-risk, but offer a rather indirect benefit. Inventory management and BOM maintenance carry a medium technical risk that depends above all on data quality and the system landscape. Organisationally, both are unproblematic. Procurement automation carries the highest risk: many exceptions in the purchasing process can overwhelm the bot, and purchasing must be willing to adapt its control routines. ROI certainty is nonetheless given, but it needs a longer ramp-up phase. On scalability, cross-site use cases (invoices, inventory, production orders) have an advantage over use cases that depend on the local system landscape (BOM, procurement).
Recommended sequence
1. Invoice processing
The classic. Lowest risk, highest ROI, fastest implementation. Proves the value of RPA internally and builds acceptance across the company.
2. Production orders in SAP
In parallel or directly afterwards. Technically simple, no change management required. Shows that RPA works in production too.
3. Inventory management
The next step, with visible impact in operations. Savings of 40 hours per week convince even sceptical warehouse managers.
4. BOM maintenance
Technically more demanding, but high time savings in engineering. Ideal once the RPA team already has experience with cross-system integrations.
5. Procurement and supplier management
The most complex use case, the biggest organisational change. Best tackled only once you have RPA experience and an internal track record.
LUNATEC
Lunatec, headquartered in Frankfurt with offices in Dubai, is a UiPath Diamond Partner and Microsoft Partner. We support industrial companies across the DACH region and the Gulf in the introduction of Robotic Process Automation in manufacturing, logistics and commercial processes. From process analysis through implementation to scaled operations.
lunatec.de · Frankfurt · Dubai · Manufacturing automation