Product

Enterprise Platform

We provide intelligent and standardized solutions, helping you achieve outstanding business automation

Discovery and Evaluation

Capable of in-depth analysis and optimization of processes to enhance efficiency and accuracy

Automation

We enhance efficiency, achieve business process automation, optimization, and high scalability

AI + Automation

Improve process efficiency through automation, achieve automation, optimization and high scalability of business processes, and bring excellent efficiency and reliability to your organization

Solution

Industry Solutions

Deeply involved in industries such as finance, energy, manufacturing, etc

General Solutions

Cases and solutions for departments or business functions such as finance、HR、and customer service

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Industry Pain Points

Demand for cost reduction and efficiency improvement

The cost of raw materials and labor continues to rise, and market competition forces enterprises to improve efficiency in production processes, equipment utilization, and other aspects.

Involving complex systems

Multiple systems such as ERP/MES/WMS operate independently, and data silos result in low information collaboration efficiency in procurement, scheduling, warehousing, and other processes.

Frequent lag caused by manual operation

Repetitive tasks such as order entry and report statistics rely on manual processing, which can easily lead to data errors and omissions, affecting the timeliness of production decisions.

High digitalization costs

Traditional system transformation requires customized development, with long cycles and large investments, making it difficult for small and medium-sized enterprises to bear the software and hardware investment pressure of digital transformation.

i-Search Advantages

Automated processing of transactional work

There are a large number of complex and well-defined basic tasks in the manufacturing industry, such as bill recognition, attendance performance evaluation, etc.

Break down data silos

There are hundreds of subsystems running within the enterprise, with scattered data and a large number of cross-system data entry and verification operations.

Connect multiple departments for collaboration

The internal organization of manufacturing enterprises is complex, with detailed division of labor and significant functional differences between departments.

Typical Scenarios

  • R&D process
  • Production process
  • Sales process

R&D process

  • Automatic collection and analysis of market data

    RPA automatically captures public data such as competitor parameters and industry reports, generates structured analysis charts, and shortens the research and development cycle.

  • Automated generation of experimental data reports

    Automatically integrate raw data output from laboratory equipment and generate standardized experimental reports according to templates.

  • Compliance verification of R&D documents

    Automatically verify the version numbers and parameter formats of design drawings, BOM tables, and other documents to ensure compliance with industry certification standards.

Production process

  • Cross-system material scheduling collaboration

    RPA synchronizes ERP and MES system data, triggers real-time shortage alerts, and generates purchase orders to avoid production line downtime.

  • Automated monitoring of equipment operation logs

    Regularly capture PLC/SCADA system data, identify abnormal shutdown signals, and push alarms to assist equipment maintenance decisions.

  • Batch input of quality inspection results

    Automatically read the output files of the detection instrument, backfill the data such as pass rate and defect type to the QMS system, and improve traceability efficiency.

Sales process

  • Cross-platform automatic summary of orders

    RPA integrates official websites, e-commerce platforms, and offline Excel orders, formats them uniformly, and synchronizes them to the ERP system to reduce missed orders.

  • Intelligent approval of contract terms

    Automatically extract key terms of the contract (such as price and payment terms) and compare them with historical templates, marking differences for manual review.

  • Automatically generate reconciliation statements

    Extract customer transaction data from CRM and financial systems, generate electronic statements according to rules and send them via email, saving 90% of manpower.

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