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# The Deichmann RPA journey: Step by step with low-code automation to success

Deichmann built a unique RPA bot to reunite orphaned shoes across 4,700 stores, saving thousands of euros. Discover their complete low-code journey from basic automation to Agentic AI.

- **Speakers:** [Niklas Blumenthal](https://www.wearedevelopers.com/@niklas-blumenthal), [Tobias Bernhardt](https://www.wearedevelopers.com/@tobias-bernhardt)
- **Event:** World Congress 2025
- **Published:** August 20, 2025
- **Duration:** 28:53
- **URL:** https://www.wearedevelopers.com/videos/1566-the-deichmann-rpa-journey-step-by-step-with-low-code-automation-to-success

## Summary

Deichmann, Europe's largest shoe retailer, embarked on a comprehensive digital transformation journey leveraging low-code robotic process automation (RPA) powered by UiPath. By replacing tedious manual workflows with automated software robots, the IT department significantly reduced enterprise costs, enhanced data quality, and eliminated administrative busywork, driving higher employee satisfaction and accelerated deployment cycles. The company established a scalable framework that measures success through sheer operational quantity, improved reliability service level agreements (SLAs), and long-term process documentation.

The automation strategy spans three distinct pillars: general productivity, operations-adjacent processes, and core retail tasks. Practical applications include a self-service app that resets SAP two-factor authentication in seconds—transforming what was once a 15-minute cross-departmental hassle into an instantaneous execution. Within e-commerce, combined Python scripts and UI components seamlessly navigate third-party B2B portals to bulk-download trademark assets, boosting operational efficiency by 300%. Most uniquely, a core internal "soulmate" bot routinely pairs orphaned single shoes across 4,700 global stores, reuniting thousands of pairs and preventing hundreds of thousands of euros in inventory write-offs.

Moving beyond linear, rule-based infrastructure, Deichmann is advancing its technical architecture utilizing UiPath's Agentic AI to embed large language models (LLMs) with software robots. These collaborative, goal-oriented AI agents autonomously navigate digital spaces to execute complex, semi-structured tasks—such as extracting unstructured PDF data for ESG energy consumption reporting and operating self-refining IT ticket dispatching sequences. This deep integration of AI agents, intelligent document processing (IDP), and business process management positions the enterprise to drastically scale global self-service automations while continually optimizing its process orchestration.

**Keywords:** low-code RPA implementation, uipath robotic process automation, agentic AI workflows, sap 2FA reset automation, ecommerce asset procurement bot, retail inventory write-off prevention, esg energy consumption reporting, unstructured data OCR extraction, LLM ticket dispatching, intelligent document processing, business process management integration, software robot deployment, uipath maestro orchestration, employee offboarding workflows, enterprise workflow standardization

## Chapters

1. **Establishing infrastructure for high-volume enterprise retail** (00:00) — Managing the computational scale of a global enterprise necessitates broad machine learning implementations and sophisticated robotic deployment tracking.
1. **Evaluating the organizational benefits of low-code automation** (05:10) — Delegating repeatable tasks exclusively to localized platforms immediately stabilizes overall processing expenses and rapidly limits corporate fault rates.
1. **Leveraging the integrated ecosystem for automated workflows** (06:52) — Executing centralized robotic layers merges essential database exchanges tightly with optical character recognitions for pure digital text conversion.
1. **Constructing automations via visual low-code development tools** (07:57) — Assembling programmatic actions demands exact element selectors paired with internal visual flowcharts mapping complex conditional software interactions.
1. **Tracking enterprise deployments across digital corporate ecosystems** (10:48) — Quantifying rapid departmental progression guarantees robust baseline reporting across newly launched endpoints and parallel analytical algorithm dependencies.
1. **Automating identity and authentication resets in enterprise networks** (11:37) — Bypassing manual human resourcing hierarchies via internal backend logic instantly resolves outstanding multifactor credential lockouts for active enterprise personnel.
1. **Streamlining digital product asset downloads for e-commerce platforms** (15:07) — Customized Python workflows isolate empty web portal listings before orchestrating seamless autonomous asset extractions from external third-party B2B environments.
1. **Resolving split inventory using unstructured data interpretation pipelines** (17:27) — Scanning raw shipping logs using modern document comprehension models prevents drastic local asset destruction by explicitly reuniting fragmented retail stock.
1. **Transitioning strictly configured scripts to dynamic autonomous models** (20:32) — Injecting native natural language logic shifts operations from relying on explicitly hardcoded logic toward independently querying available sub-tool capabilities entirely.
1. **Deploying conversational intelligence tools for complex unstructured data** (24:36) — Generative evaluation pipelines extract obscure operational utility consumptions securely and automatically isolate vague user helpdesk inquiries to separate escalation teams.
1. **Planning extensive structural integrations and enterprise process mining** (26:48) — Upcoming operational maturity requires bridging newly discovered regional dependencies heavily onto conversational internal mining configurations and chatbot assistance mechanisms.

## Related Moments

- [Escaping the automation paradox within dynamic enterprise environments](https://www.wearedevelopers.com/videos/100273-the-agentic-enterprise-orchestrating-people-ai-and-european-sovereignty) (from "The Agentic Enterprise: Orchestrating People, AI, and European Sovereignty")
- [Introduction to the speakers and process automation transformation journey](https://www.wearedevelopers.com/videos/1433-transforming-task-management-integrating-camunda-with-scalable-frontend-solutions) (from "Transforming Task Management: Integrating Camunda with Scalable Frontend Solutions")
- [Practical enterprise use cases for automating complex workflows](https://www.wearedevelopers.com/videos/1862-building-agents-securely-at-scale-alfonso-graziano) (from "Building Agents Securely at Scale - Alfonso Graziano")
- [Empowering employees with use-case driven transformation](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) (from "From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking")
- [Building enterprise solutions with low-code automation platforms](https://www.wearedevelopers.com/videos/310-how-to-achieve-web-automation-with-uipath) (from "How to achieve web automation with UiPath")
- [Enterprise scale benefits and operational use cases](https://www.wearedevelopers.com/videos/1975-ai-native-enterprise-platforms-interpreting-logic-not-compiling-code) (from "AI-Native Enterprise Platforms: Interpreting Logic, Not Compiling Code")

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