Professional Services Leader Boosts Sales Efficiency with Automated Quoting & Ordering in Oracle CPQ

Saifali

Saifali

Enterprise Application Specialist - CPQ

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Oracle CPQ automation, sales quoting efficiency

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About the Client

The client is a global leader in professional services. With large and complex service portfolios, quoting and order creation processes were time-intensive, repetitive, and error-prone. The sales team needed automation within Oracle CPQ to accelerate deal cycles, improve accuracy, and reduce manual effort.

A similar sales-automation success can be seen in Ayara - Revenue Operations, where CRM and CPQ integration unified quoting, billing, and revenue workflows


The Challenges

The client's sales operations were slowed by two major inefficiencies:

  • Manual RFC Order Creation: Sales reps had to manually create "Request for Change" (RFC) orders from existing transactions. This repetitive task introduced errors and wasted time.

  • Inefficient Line-Item Uploads: For service quotes tied to existing hardware, reps manually entered hundreds of line items from CSV files. They then had to search external databases for asset details and End of Sales (EOS) dates, leading to delays and inaccuracies.

These gaps caused longer quoting cycles, data integrity issues, and reduced selling time, directly impacting revenue generation.

Comparable quoting delays were overcome in Oracle Order Management Compliance Automation, where validation rules and automation minimized manual entry.


The Solution

We designed and implemented two custom Oracle CPQ solutions using BML scripting, REST APIs, and UI enhancements.

  1. Automated RFC Order Creation

    • Built a custom admin action button called "Create RFC Order."

    • Developed backend BML scripts to copy selected line items and transaction data into a new transaction using JSON and REST API calls.

    • Added robust error handling to prevent data integrity issues, such as missing parent-child relationships.

  1. CSV Upload with API Integration

    • Developed BML scripts to parse uploaded CSV files with hundreds of line items.

    • Automated external API calls to fetch asset details (Part Number, Asset ID, Quantity) based on Serial Numbers.

    • Queried internal parts databases to fetch End of Sales (EOS) dates, enriching quotes with accurate lifecycle data.

    • Designed efficient chunked API calls to handle large datasets reliably.

  1. Reusable & Scalable Logic

    • Created reusable BML functions following performance best practices.

    • Ensured the solution was scalable for large quoting volumes.



Tools Used

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Business Impact

The automation transformed the client's quoting and ordering process:


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Faster Quoting: Reduced RFC order creation from a manual, error-prone task to a single click

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Streamlined Line Item Uploads: Enabled bulk CSV uploads with automated API enrichment of asset details and EOS dates

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Improved Data Accuracy: Eliminated manual lookups, ensuring consistent and error-free quotes

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Accelerated Sales Cycles: Shortened quoting timelines for large deals, allowing reps to spend more time engaging with customers

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Scalable Solution: Designed reusable logic that will support future quoting volumes and integration needs

Saifali

Saifali

Enterprise Application Specialist - CPQ

Saif specializes in Oracle CPQ Cloud with expertise in BML scripting, integrations, and UI customization. He led the development of automated RFC order creation and CSV-to-API integration solutions, significantly improving quoting accuracy and efficiency for the client's sales teams.

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