Product

Agentic AI

Speed up from prototype to production with governed autonomy and deep integrations.

Automation

Automate and orchestrate business processes to power agentic operations.

Solution

By Agentic AI

Accounts Payable

Transform manual billing into intelligent,automated workflows,enabling your finance team to move beyond back-office operations and focus on strategic insights...

Order Management

Leverage AI-driven automation to track and process multi-channel orders in real time, ensuring data accuracy and enabling end-to-end fulfillment visibility.

Transport & Logistics

Utilize AI automation to seamlessly connect shippers, carriers, and port information in real time, accelerating logistics tracking and documentation processes to drive a more efficient supply chain.

Customs Clearance

Apply intelligent document recognition to bills of lading, invoices, and packing lists, automating data extraction to significantly enhance customs clearance efficiency.
By Automation

Banking and financial services

Reinventing digital productivity in banking.

Insurance

Accelerate every step of underwriting, claims processing, and customer service.

Transport & Logistics

Make logistics faster, more accurate, and more intelligent.

Case

I-Search helps customers accelerate the transformation of enterprise digital productivity to intelligence, helping them succeed.

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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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