From Data Silos to Intelligent Collaboration: Automation Reshapes Renewable Energy Sector
Driven by rapid global expansion and technological innovation, the renewable energy sector faces escalating complexities. As enterprises scale, fragmented systems and manual processes create data silos, restricting efficiency and innovation. To address the problem,enterprises are turning to intelligent automation to unlock cross-departmental synergy and accelerate digital transformation.
Case Study
A renewable energy enterprise, grappling with legacy systems and exponential growth, partnered with Laiye to build a Digital Workforce Center. This strategic initiative includes:
- An enterprise-level Digital Employee Platform
- A standardized Robot Governance Framework
- A Center of Excellence (CoE) for digital workforce management
- Cross-functional automation use cases
Challenges
Hidden costs of manual patchwork: Finance teams manually consolidated over 30 different monthly detail reports. Procurement staff logged into dozens of external platforms daily to track prices from 100+ key suppliers. Matching delivery notes to purchase orders alone consumed more than 80 hours per month—often requiring staff to work past midnight.
Inefficient ecosystem collaboration: Data exchange with 200+ upstream and downstream partners relied on email and manual re-entry into ERP, resulting in a 5% mismatch rate between purchase orders and logistics documents. Market demand fluctuations took three days of manual coordination to inform production plans—far behind competitors’ real-time response.
Innovation Bottlenecks by data churn: Technical teams spent 40% of their time on data cleansing and report generation, extending product iteration cycles. When subsidy policies changed, over 20 people were pulled into a three-week scramble to recalculate new projections.
Document Data Processing Limitations: Critical information flowed through a variety of semi-structured documents that could not be fully automated by rule-based systems, leading to low throughput and accuracy.
Solutions
By leveraging Laiye’s RPA (Robotic Process Automation) and IDP (Intelligent Document Processing) technologies within the Digital Workforce Center, the company automated seven key processes across marketing, production, finance, and HR:
Marketing: Robots automatically download and OCR-process overseas invoices and payment approvals, slashing review times and error rates.
Production Management: Automated extraction and transformation of wire-processing sheets convert unstructured data into actionable formats in seconds.
Finance: Digital workers schedule and execute e-invoice issuance and bank reconciliation on a predefined cycle—freeing finance staff to focus on analysis rather than data entry.
Human Resources: Social insurance enrollment and deregistration tasks are executed end-to-end by robots, ensuring compliance and consistency.
Results
Cost savings: Hundreds of thousands of dollars saved in the first year; projected savings exceed $1 million over three years.
Labor savings: 100,000 hours of manual effort automated—equivalent to 20 full-time employees per year.
Error reduction: Automated workflows achieve a 0.05% error rate versus 5% under manual operations; key scenarios like supply chain reconciliation and equipment inspections now boast 100% accuracy.
Efficiency gains: Overall operational throughput up 40%; order response times compressed to 1/3. Released over 300 technical staff to spearhead two new patents and launch a smart energy innovation line—positioning the company for a multi-billion-dollar market.
Looking Ahead
Building on this success, Laiye and the enterprise will deepen the Digital Workforce Center’s capabilities to transition from automation to full AI-driven intelligence. Future phases will embed cognitive agents for real-time decision support, predictive maintenance, and adaptive scheduling—ensuring the company leads the renewable energy revolution with agile, data-driven operations.
Contact us and discover how Laiye can insist you in accelerating digital transformation and unlocking intelligent collaboration at scale.
