Siemens AG is a leading global technology company headquartered in Munich, Bavaria, Germany. Specializing in power generation, distribution, and intelligent infrastructure, Siemens offers innovative solutions for diverse industries including energy, healthcare, and manufacturing. From smart mobility solutions to digital healthcare services, Siemens serves as a key player in shaping the future of technology worldwide.
Siemens jumped to 90% touchless processing in 2 weeks
Siemens, a leader in innovation, embraced the power of GenAI and LLMs, achieving over 90% touchless processing of delivery notes within 2 weeks.
"I was shocked by the leap in performance. Truly next-level straight through processing"
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Siemens' leap into AI-driven document processing transformed repetitive tasks into a strategic edge. By deploying the power of generative automation, Siemens automated the handling of over 35,000 delivery note layouts, achieving 98% accuracy. This revolution not only sped up processes but also enhanced data accuracy, employee satisfaction, and overall operational efficiency, positioning Siemens as a leader in innovative manufacturing solutions.
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The Hurdles of Processing Delivery Notes
With materials flooding in from over a thousand vendors, each delivery note at Siemens is essential to keeping the gears of this manufacturing giant turning smoothly.
Every day, employees faced large volumes of paper and digital documents, each with their unique layout and content differences. These weren't just any documents; they were the lifeline of the supply chain, containing crucial details like part numbers, quantities, and delivery timelines. Processing these documents meant manually keying in data into the ERP system, a task that consumed time from more strategic efforts.
Workers spent several minutes at a time, reviewing smudged printouts or scrolling through email attachments to ensure production lines remained healthy, vendors were satisfied, and customers were happy. This repetitive process was an operational strain in an industry where speed and accuracy are paramount.
The challenge was clear: Siemens needed a solution that could untangle this web of inefficiencies and harness the true potential of its workforce. The goal was not just to improve a process but to revolutionize it, ensuring that the company could maintain its reputation as a leader in manufacturing excellence.
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Siemens Leverages AI for Smarter Document Processing
Siemens chose DeepOpinion to automate and streamline delivery note processing. Initially skeptical, the team decided to pilot DeepOpinion's AI model, which promised to process delivery notes from multiple suppliers with high accuracy and speed.
Instead of relying on traditional OCR and manual data entry, Siemens used DeepOpinion's Large Language Model (LLM) technology. This AI, pre-trained on millions of documents, was capable of accurately deciphering and extracting data from various document formats, achieving a 98%+ accuracy rate across unlimited document layouts to maximize Straight-Through-Processing.
Integration with Siemensâ ERP system, including SAP, was seamless. The AI validated delivery information against purchase orders in real-time, flagging and resolving discrepancies efficiently. The âHuman in the Loopâ (HITL) feature allowed the Siemens team to oversee the AI's performance, reducing manual workload and enabling them to focus on strategic tasks.
André, a Siemens data scientist, noted, "It outperformed what we developed over years in accuracy. Now we benchmark our data quality on DeepOpinion models."
DeepOpinion's solution transformed Siemens' document processing, turning a routine task into a source of efficiency and insight, showcasing the impact of innovation in manufacturing.
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Siemens' Strategic Leap with AI for Unmatched Efficiency
Siemens effectively harnessed DeepOpinion's AI technology to drive substantial improvements across the organization:
Operational Efficiency: Siemens significantly reduced delivery note processing times from days to minutes, achieving an impressive 98% accuracy rate. This transformation allowed employees to shift their focus from tedious manual data entry to overseeing AI-driven processes, where they managed exceptions flagged by the system. This change not only streamlined operations but also enhanced overall job satisfaction and productivity among the workforce.
Financial Impact: By implementing DeepOpinionâs AI, Siemens realized an annual ROI exceeding âŹ5M. This financial gain allowed Siemens to reallocate resources toward innovation, employee development, and strategic investments, reinforcing its competitive edge in the manufacturing sector.
Cultural Shift: The successful integration of AI at Siemens catalyzed a cultural shift within the organization. Employees who were initially cautious about the new technology quickly recognized its benefits, leading to broader acceptance and a more future-focused mindset. This shift helped Siemens build a more efficient, tech-savvy, and innovative workplace.
Client and Vendor Satisfaction: The improvements in processing speed and accuracy had a positive ripple effect on Siemens' external relationships. Vendors and clients benefited from the faster, more reliable handling of delivery notes, which strengthened Siemens' reputation as a dependable and forward-thinking partner.
Strategic Advantage: Siemens strategically positioned itself as a market leader by effectively leveraging AI to overcome operational challenges. This success story became a testament to Siemens' ability to innovate and adapt, attracting top talent, partners, and clients who were inspired by Siemens' vision and leadership in the industry.
AI-Integrated Future for Manufacturing
Siemensâ collaboration with DeepOpinion marks the beginning of a comprehensive AI-driven transformation across the company. Building on the initial success in automating delivery note processing, Siemens has ambitious plans to extend DeepOpinionâs AI capabilities throughout its operations. The focus will be on automating critical processes in areas such as inventory management, quality control, and customer service, ensuring that the advantages of AI are felt across the entire enterprise, not just within a single department.
A key element of Siemens' strategy is to leverage DeepOpinionâs adaptable AI platform, which continuously learns and evolves. This adaptability will allow Siemens to create highly customized AI models tailored to the unique requirements of each department. As these models refine themselves over time, Siemens anticipates significant improvements in process efficiency and accuracy, driving ongoing operational enhancements.
Integration is another crucial aspect of this strategy. Siemens plans to seamlessly incorporate DeepOpinionâs AI into its existing systems across its global operations. This approach ensures a unified and consistent framework for data processing and analysis, which is essential for a company of Siemensâ size and complexity. The scalability of DeepOpinionâs technology is vital, enabling Siemens to implement AI solutions that can handle the demands of its diverse and widespread operations.
In addition to operational processes, Siemens sees significant potential in using DeepOpinionâs AI for advanced document processing. The ability to manage and analyze a wide range of documents, from structured data to unstructured texts like technical manuals, project plans, and legal contracts, will open up new opportunities for Siemens. By extracting valuable insights from these documents, Siemens can improve decision-making, optimize workflows, and enhance overall operational efficiency.
Empowering employees is also a central goal. Siemens aims to democratize AI across the organization by providing employees with tools that enhance their capabilities. DeepOpinionâs intuitive, no-code platform allows employees at all levels to design and implement AI solutions, fostering a culture of innovation and ensuring that AI becomes an integral part of everyday operations.
Ultimately, Siemensâ vision with DeepOpinion goes beyond merely streamlining processes. The company intends to use AI to drive strategic outcomes, enhance its product and service offerings, improve customer satisfaction, and maintain its leadership position in the highly competitive manufacturing industry. AI-driven automation is set to become a cornerstone of Siemensâ operational strategy, enabling the company to navigate the challenges of the global marketplace with greater agility and efficiency.